Sergiu Nedevschi
___________________________________________ Address: Technical University of Cluj-Napoca, 26-28, Gh. Baritiu Street,
400114, Cluj-Napoca,
ROMANIA ___________________________________________ Email:
Sergiu.Nedevschi@cs.utcluj.ro Phone: +40 264 401235 Fax: +40 264 594491 Web: http://cv.utcluj.ro _______________________________________________ |
|
Academic Degree:
Professor with
Computer Science Department, Faculty of Automation and Computer Science
Director of Image
Processing and Pattern Recognition Research Center
_________________________________________________________________________________________________________________
Degree:
Diplomat Engineer
(Technical University of Cluj-Napoca)
_________________________________________________________________________________________________________________
Doctor Degree:
PhD. E. E.(Technical University of Cluj-Napoca)
_________________________________________________________________________________________________________________
Courses:
·
Computer
Vision for Autonomous Systems
_________________________________________________________________________________________________________________
Research
Activity:
·
Involved
in 83 research projects, being the coordinator, local coordinator or manager of
65 of them.
·
Coordination
or management of 29 international projects from which 6 FP7, 1 Horizon 2020, 19
with companies and 3 bilateral projects.
·
The
research activity carried out in the Image Processing and Pattern Recognition
Research Lab established in 1998 and upgraded to Research Center in 2010.
_________________________________________________________________________________________________________________
Main Research Areas:
·
Image
Processing and Pattern Recognition
·
Computer
Vision and Artificial Intelligence
·
Machine
Learning and Deep Learning based Perception
·
2D
Sensors Based Perception (grey and colour cameras)
·
2D
and 3D Sensors Based Perception (Stereo, LiDAR, RADAR)
·
Semantic,
Instance and Panoptic Semantic Segmentation, Structure from motion,
Stereovision, LiDAR and RADAR data Processing, Geometry and Semantic fusion,
Object and Pedestrian Detection Tracking and Recognition, Environment
Representation, Risk Assessment
·
Intelligent
Vehicles, Driving Assistance Systems, Autonomous Mobile Systems
·
Medical
Image Processing
_________________________________________________________________________________________________________________
Selected Projects:
·
Deep Learning Based 3D
Perception for Autonomous DriviDeeng - DEEP PERCEPTION, grant funded by Romanian Ministry of Education and
Research, code PN-III-P4-PCE-2021-1134, PCE 113 (2022-2024)
·
Integrated Semantic Visual
Perception and Control for Autonomous Systems - SEPCA, grant funded by
Romanian Ministry of Education and Research, code PN-III-P4-ID-PCCF-2016-0180, (2018-2022)
·
Multispectral environment
perception by fusion of 2D and 3D sensorial data from the visible and infrared
spectrum – MULTISPECT, grant funded by
Romanian Ministry of Education and Research, code PN-III-P4-ID-PCE-2016-0727
·
Automated
Urban Parking and Driving – UP-Drive, Horizon 2020, (2016-2019)
·
The detection of singularities on the road, based on
3D and image features for driver assistance systems, Robert Bosch GMBH, (2015)
·
Reconfigurable
ROS-based Resilient Reasoning Robotic Cooperating Systems - R5-COP, FP7 ARTEMIS
project, (2014-2016)
·
Identification of 3D lane boundaries based on road
limiting infrastructure and surface discontinuities using stereo measurement,
Robert Bosch GMBH, (2014)
·
Measurement of road surface using stereo, Robert Bosch
GMBH, (2013)
·
Plug And
Navigate ROBOTS for smart factories - PAN-Robots,
FP7
project (2012 – 2015)
·
Co-operative
Mobility Services of the Future - CoMoSeF,
Celtic Plus project, (2012-2015)
·
Cooperative
Advanced Driving Assistance System Based on Smart Mobile Platforms and Road
Side Units – SmartCoDrive, grant funded by
Romanian Ministry of Education and Research, code PN II PCCA 2011 3.2-0742 din
03.07.2012 (2012-2015)
·
Multi-scale
and multi-modal perception of the 3D dynamic environments by fusion of the dens
stereo, dens optical flow and visual odometry data - MULTISENS, grant funded by
Romanian Ministry of Education and Research, code PN II IDEI 2011 (2012-2015)
·
DRIVE C2X, FP7 project
(2011-2013)
·
INSEMTIVES
- Incentives for Semantics,
FP7 project (2010 – 2012)
·
LarKC
- LarKC: The Large Knowledge Collider, FP7 project (2010 – 2011)
·
Sensorial
Perception and World Model Representation for Driving Assistance Systems - PERSENS, grant funded by Romanian
Ministry of Education and Research, CNCSIS, code 1522/2009, (2009-2011)
·
Cooperative
Intersection Safety - INTERSAFE
-2, FP7 project (2008 – 2011)
·
Experimental
Low Earth Orbit Surveillance Stereoscope – LEOSCOP, grant
funded by Romanian
Ministry of Education and Research, CNMP: 82-093 / 2008, (2008-2011)
·
Stereo
System Modular Design – MODULAR, research project funded by Volkswagen AG,
Germany, (2008-2009)
·
Dense
STEREO-Based Object Tracking and CLASSification for Pre-Crash-Applications -
STEREOCLASS, research project funded by Volkswagen AG, Germany, (2008)
·
Dense
Stereo-Based Object Detection, Tracking and Pedestrian Classification in
Traffic environments – DESPED,
Volkswagen AG, Germany, (2006-2007)
·
Incorporated informatic system for the assurance of traceability and quality control in food
industry - FOOD-TRACE, grant funded by
Romanian Ministry of Education and Research (2006-2008)
·
Dense-Stereo
based Object recognition for Automatic Cruise Control in Urban Environments – DESBOR, Volkswagen AG,
Germany, (2005-2006)
·
Intelligent System for Assisting the Therapeutical
Decision at Pacients with Prostate Cancer – INTELPRO, grant funded
by Romanian Ministry of Education and Research (2005-2008)
·
Method
and System for Real-time Acquisition of High-resolution 3D Images Based on Trinocular
Stereo-vision, grant funded by Romanian Ministry of Education and Research
(2004-2006)
·
Stereo-Camera
Based Object Recognition System for Vehicle Application - SCABOR, Volkswagen AG,
Germany, (2001 – 2004)
·
Distributed
System for Acquisition, Processing, and Retrieval of Medical Images in Hospital
Environment, Compliant with the DICOM Medical Standard – DICOM, grant funded by
Romanian Ministry of Education and Research (2001-2003)
·
Logic
Design using FPGA, grant funded by Romanian Ministry of Education and Research
(1998 – 2000)
·
Network
of European Tertiary Level Educators – NETTLE, EU funded Thematic Network
project, (2005-2007),
·
Network
for Web-based Continuous Education in European Studies - CONED, Tempus Project
IB_JEP 13467/98, (1998-2001)
·
Euro-standards
in Information Technology - ESITEC, Tempus
S_JEP 12531-97, (1997-2000)
____________________________________________________________________________________________________________________
Publications:
·
Books:20
·
Chapters
in Books:8
·
Papers:>430
- In proceedings
of international conferences:>273
- In journals:104
- In ISI
journals:45
____________________________________________________________________________________________________________________
Patents:
·
1
patent
____________________________________________________________________________________________________________________
Citations:
·
h-index
27 in ISI Web of Science
·
h-index
32 in SCOPUS
·
h-index
41 in Google Academic
____________________________________________________________________________________________________________________
Activity:
·
Associate
Editor for IEEE Transactions on Intelligent Transportation Systems (from 2006)
·
Associate
Editor for IEEE Transactions on Intelligent Vehicles (from 2015)
·
Associate
Editor for Proceedings of Romanian Academy Series A: Mathematics, Physics,
Technical Sciences, Information Science (from 2018)
·
Associate
Editor for Electronic Letters on Computer Vision and Image Analysis (from 2013)
·
Editor
of ACAM Scientific Journal (from 2004)
·
Member
of Editorial Board of Scientific Bulletin of "Politehnica" University
of Timisoara, Romania, Transactions on Automatic Control and Computer Science
(2006-2016)
·
Associate
Editor for System Theory, Control and Computing Journal (from 2020)
·
Reviewer:
IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on
Vehicular Technologies, IEEE Transactions on Image Processing, IEEE
Transactions on Pattern Analysis, Optics and Lasers in Engineering, Sensors,
etc.
·
External
PhD and habilitation evaluator at universities from Romania, France, Sweden,
Netherland, Ireland, Australia, Pakistan
·
Invited
professor at Ecole Centrale de Nantes – Nantes University, France, Technical
University Delft, Netherland, Mercedes-Benz Research and Development North
America, Sunnyvale CA, USA, VTT Tampere and Helsinki, Finland, SICK Hamburg
Germany, Chonnam National University from Gwangju, Korea, University of
Limerick, Ireland, Technical University of Braunschweig and Technical
University of Munich, Germany.
·
Conference
Chairman, PC member, member in the local organizing committee, session chair of
more than 50 international conferences and workshops: IEEE IV Symposium, IEEE
ITSC, IEEE ICCP, IEEE INES, CVVT:E2M, ICINCO, CSCS,
SINTES, IEEE SACII. IEEE AQTR
·
Member of: IEEE Computer Society, IEEE Signal
Processing Society, IEEE Intelligent Transportation Society, IEEE Romania
Computers Chapter
·
Member of IEEE Romania Section Committee in charge with
educational activities
·
Member of Self Driving Automobiles technical committee
of IEEE Intelligent Transportation Society, since 2018
·
Independent
evaluator of EU FP7 projects, evaluator of EU COST and CHIST – ERA projects.
·
Evaluator
of National Council of Academic Evaluation and Accreditation (CNEAA), 2001-2006
·
Evaluator
of Romanian Agency for Quality in Higher Education (ARACIS) in the field of
Computer Science and Information Technology, since 2007
·
Evaluator
of National Council of Scientific Research in Higher Education (CNCSIS), since
1995
·
Member
of National Council for Titles, Diplomas and Certificates (CNATDCU), 2006–2012
·
President
of the Engineering Sciences Panel of CNATDCU 2010-2012
·
Member
of the CNATDCU Computer, Information Technology and Systems Engineering
Committee, 2012-2020
·
President
of CNATDCU's Computer, Information Technology and Systems Engineering
Committee, since 2020
- President of
Section Information Technology and Communications of Romanian Academy of
Technical Sciences (ASTR), since 2023
____________________________________________________________________________________________________________________
Professional Visits in The Last
Years:
·
Mercedes-Benz Research and Development North America,
August 2018
·
Fraunhofer IAO Stuttgart, Germany, November 2014
·
TU Braunschweig, Germany, October 2014
·
VTT
Tampere, Finland, January 2012
·
SICK
Hamburg, Germany, March 2011
·
VTT
Helsinki, Finland, June 2010
·
IBEO
Hamburg, Germany, March 2010
____________________________________________________________________________________________________________________
Conferences and Workshops
Attended in The Last Years:
·
IEEE
Intelligent Vehicles Symposium, Anchorage, Alaska, USA, June 2023
·
IEEE
Conference on Computer Vision and Pattern Recognition (CVPR). 19-24 June 2022,
New Orleans, SUA
·
IEEE
Intelligent Transportation Systems Conference, Auckland, New Zealand, October
2019
· IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, Utah, USA, June 2018
· IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, HI, USA, July 2017
·
IEEE
Intelligent Transportation Systems Conference, Rio de Janerio, Brazil, November
2016
·
IEEE
Intelligent Vehicles Symposium, Goeteborg, Sweden, June 2016
·
IEEE
Intelligent Vehicles Symposium, Seoul, Korea, June 2015
·
IEEE
Intelligent Transportation Systems Conference, Las Palmas de Gran Canaria,
Spain, September 2015
· IEEE Conference on Computer Vision and Pattern Recognition, Columbus, Ohio, USA, June 2014
·
IEEE
Intelligent Vehicles Symposium, Dearborn, Michigan, USA, June 2014
___________________________________________________________________________________________________________________
Awards and Honours:
·
Correspondent
member of Romanian Academy,
·
Member
of Romanian Academy of Technical Sciences,
·
“Best
Associate Editor Award of the IEEE Transactions on Intelligent Transportation
System” in 2011 given by IEEE Intelligent Transportation Systems Society in
2012,
·
”Constantin
Budeanu” Romanian Academy Prize in 2009 for papers published in „Stereovision
Based Sensorial Perception”,
·
“Marius Hanganut” Prize of Technical University of
Cluj-Napoca in 2005 for Achievements in Research Activity.
____________________________________________________________________________________________________________________.
Books and Book Chapters:
·
S. Nedevschi, T. Marița, R. Dănescu, F. Oniga,
R. Brehar, I. Giosan, C. Vancea, R. Varga, Image Processing – Laboratory Works,
UT Press, Cluj-Napoca, 2023, ISBN
978-606-737-626-5
·
S. Nedevschi, R. Varga, F. Oniga, R. Brehar, I. Giosan,
A. Petrovai, Pattern Recognition Systems - Laboratory Works, UT Press, Cluj-Napoca, 2023, ISBN
978-606-737-637-1
·
D. Mitrea, S. Nedevschi, M. Socaciu, R. Badea, “Deep Learning Techniques for
Liver Tumor Recognition in Ultrasound Images” book chapter in “Deep Learning -
Recent Findings and Researches”, IntechOpen,
2023
·
M. Bocu, S. Nedevschi, A. Varga, History of Cluj’s IT - Vol. 1: Institute
for Computing Technology from Cluj (1968-1991), Argonaut Publishing House,
Cluj-Napoca, 2020,
·
S.
Nedevschi, T. Marita, R. Danescu, F. Oniga, R. Brehar, I.
Giosan, S. Bota, A. Ciurte, A. Vatavu, Image Processing - Laboratory Guide, UT Press, 2016,
·
R. Danescu, A. Petrovai, R. Itu, S. Nedevschi, Generic Obstacle
Detection for Mobile Devices Using a Dynamic Intermediate Representation, book chapter in Volume 427 of the series
Advances in Intelligent Systems and Computing (Proceedings of the Second
International Afro-European Conference for Industrial Advancement AECIA 2015),
published by Springer Berlin Heidelberg,
2016, pp. 629-639.
·
M. Negru, F. Oniga, S.
Nedevschi, Computer Architecture. Laboratory Guide, UT Press, 2015.
·
S.
Nedevschi, T. Marita, R. Danescu, F.
Oniga, R. Brehar, I. Giosan, C. Vicas, Procesarea imaginilor. Indrumator de
laborator, UT Press, 2013,
·
S.
Nedevschi, R. Danescu, F. Oniga, T.
Marita, Tehnici de viziune artificiala in conducerea automata a
autovehiculelor, Editura UT Press, 2012
·
A. Vatavu,S. Nedevschi,
F. Oniga, "Real time environment representation in driving scenarios based
on object delimiters extraction", in Lecture Notes in Electrical
Engineering 85, published by Springer,
2011, pp. 255-267.
·
D. Mitrea,S. Nedevschi,
M. Lupsor, M. Socaciu, R. Badea, The role of the feature extraction methods in
improving the textural model of the hepatocellular carcinoma, based on
ultrasound images, Lecture Notes in Computer Science - CCIS, Vol. 188,
published by Springer, 2011, pp.
496-509.
·
S.
Nedevschi, T. Marita, R. Danescu, F.
Oniga, S. Bota, I. Haller, C. Pantilie, M. Drulea, C. Golban, On Board 6D
Visual Sensors for Intersection Driving Assistance Systems, chapter in
”Advanced Microsystems for Automotive Applications 2010: Smart Systems for
Safety, Sustainability and Comfort”,
(AMAA 2010), editors G. Meyer, J. Valldorf, W. Gessner, published by Springer, 2010, pp. 253-264.
·
A. I. Mitrea, S.
Nedevschi, D. M. Ivan, D. Mitrea, O. M. Gurzau, P. Mitrea, D. Inoan, N.
Lungu, D.Cimpean, “Modele deformabile 3D.
Aplicatii”, Editura UT Press, 2010.
·
A. I. Mitrea, S.
Nedevschi, D. M. Ivan, D. Mitrea, O. M. Gurzau, N. Lungu, D.Cimpean, “Modele deformabile 2D. Aplicatii”, Editura UT Press, 2009, 106.
·
S. Nedevschi, R. Danescu, T. Marita, F.
Oniga, C. Pocol, S. Bota, M.-M. Meinecke, M. A. Obojski, ”Stereovision-Based
Sensor for Intersection Assistance”, chapter in ”Advanced Microsystems for
Automotive Applications 2009: Smart Systems for Safety, Sustainability and
Comfort”, editors G. Meyer, J. Valldorf, W. Gessner, published by Springer, 2009, pp.129-164.
·
S. Nedevschi, R. Danescu, T. Marita, F.
Oniga, C. Pocol, S. Bota and C. Vancea, “A Sensor for Urban Driving Assistance
Systems Based on Dense Stereovision”, chapter in “Stereo Vision”
editor A. Bhatti, published by InTech
Education and Publishing, Vienna, 2008, pages 235-272.
·
S. Nedevschi, R. Badea, editors, “Computers in Medical Diagnoses”, UT Press, 2008.
·
S.
Nedevschi, I. Rudas, editors
“Proceedings of IEEE International Conference on Intelligent Engineering
Systems 2004”, ISBN: 973-662-120-0, UT
Press, 2004.
·
S.Nedevschi, K. Pusztai, “Standards in
Information Technology”, ISBN 973-686-075-2, Editura Casa Cartii de Stiinta,
Cluj-Napoca, 2000.
·
I. Salomie, S. Nedevschi,
K. Pusztai, “Web Based Educational Technology”, ISBN 973-686-066-3, Editura
Casa Cartii de Stiinta, Cluj-Napoca,
2000.
·
S.Nedevschi, Z. Baruch, O. Cret,
“Proiectarea sistemelor numerice folosind tehnologia FPGA”, Ed. Mediamira,
1999.
·
S.Nedevschi, I.Suveg, L.Todoran,
“Procesoare de semnale”, Ed. UT Press, 1997.
·
S.Nedevschi, “Prelucrarea Imaginilor si
Recunoasterea Formelor”, Ed. Microinformatica, 1997.
·
S.Nedevschi, L.Todoran, “Microprocesoare”, Technical
University of Cluj, 1995.
__________________________________________________________________________________________________________________________
Recent
Papers:
·
VC
Miclea, S. Nedevschi, Dynamic
Semantically Guided Monocular Depth Estimation for UAV Environment Perception,
IEEE Transactions on
Geoscience and Remote Sensing,Vol. 62, AN 5605111, 2024
·
V.
Chiciudean, H. Florea, Z. Blaga, R. Beche, F. Oniga, S. Nedevschi, Data Augmentation for
Environment Perception with Unmanned Aerial Vehicles, IEEE Transactions on Intelligent Vehicles, 2024
·
A
Petrovai, S. Nedevschi, MonoDVPS: A
Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video
Panoptic Segmentation, 2023 IEEE
Winter Conference on Applications of Computer Vision (WACV), 2023, pp.
3076-3085
·
MP
Muresan, R. Danescu, S. Nedevschi, Multi-Object Tracking,
Segmentation and Validation in Thermal Images, 34th IEEE Intelligent Vehicles Symposium (IV),
Anchorage, Alaska, SUA, June 04-07, 2023
·
D.
Mitrea, R. Brehar, S. Nedevschi, M. Lupsor-Platon, M. Socaciu, R. Badea,
Hepatocellular Carcinoma Recognition from Ultrasound Images Using Combinations
of Conventional and Deep Learning Techniques, SENSORS, 23(5),AN 2520, MAR 2023
·
D.
Mitrea; R. Brehar; C.Mocan; S. Nedevschi;M. Socaciu,
R. Badea “Hepatocellular Carcinoma Recognition from Ultrasound Images by Fusing
Convolutional Neural Networks at Decision Level”, 2023 46th International Conference on Telecommunications and Signal
Processing, TSP 2023, pp. 238-243
·
R.
Brehar, D. Mitrea, S. Nedevschi, T. Moisoiu, F. I. Elec, M. Socaciu, “Kidney
Tumor Segmentation and Grade Identification in CT Images”, Proceedings of 19th 2023 IEEE ICCP, 24-26 October, 2023
·
V.
Chiciudean, R. Beche, Z. Blaga, F. Oniga and S. Nedevschi, “Static Mesh
Enrichment with Dynamic Entities for Training Sets Generation”, Proceedings of 19th 2023 IEEE ICCP, 24-26 October, 2023
·
P.
Cobarzan, C. Golban, S. Nedevschi, “Accuracy vs speed trade-offs in multi-frame
LiDAR-based linear correction for visual odometry”, Proceedings of 19th 2023 IEEE ICCP, 24-26 October, 2023
·
A.
Petrovai, S.Nedevschi, Exploiting
Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular
Depth Estimation, 2022 Conference on
Computer Vision and Pattern Recognition (CVPR). 19-24 June 2022, New
Orleans, SUA
·
A.
Petrovai, S. Nedevschi, Semantic
Cameras for 360-degree Environment Perception in Automated Urban Parking and
Driving, IEEE Transactions on
Intelligent Transportation Systems, MAR 2022
·
A. Petrovai, S.
Nedevschi, Time-Space
Transformers for Video Panoptic Segmentation, Proceedings of WACV, Hawaii, USA, 3-5 January 2022, pp. 925-934
·
A. Petrovai, S.
Nedevschi, Fast
Panoptic Segmentation with Soft Attention Embeddings, SENSORS, 22(3), AN 783, JAN, 2022,
·
V.C. Miclea, S.
Nedevschi, Monocular
Depth Estimation With Improved Long-Range Accuracy for UAV Environment
Perception, IEEE Transactions on Geoscience and Remote Sensing,
Vol. 60, AN 5602215, JAN 2022.
·
H. Florea, A. Petrovai, I. Giosan, F. Oniga, R. Varga, S.
Nedevschi, Enhanced
Perception for Autonomous Driving Using Semantic and Geometric Data Fusion,
SENSORS, 22(13), AN 5061, JUL 2022
·
C.P. Cobarzan, C.C. Golban, S. Nedevschi, “Noise
tolerance of linear vs non-linear LiDAR based ego-motion drift correction
methods”, Proceedings of 2022 18th IEEE
ICCP, 22-24 September, 2022, pp. 183-188
·
B. Maxim, S. Nedevschi, “aSDF: Reconstructing Real-Time
Signed Distance Fields with Enhanced Attention”, Proceedings of 2022 18th IEEE ICCP, 22-24 September, 2022, pp.
189-207
·
H. Florea, S. Nedevschi, “Survey on Monocular Depth
Estimation for Unmanned Aerial Vehicles using Deep Learning”, Proceedings of 2022 18th IEEE ICCP,
22-24 September, 2022, pp. 319-326
·
R. Beche, S. Nedevschi, Efficient HD Map encoding via
disentangled style-structure representation using graph neural networks, in Proceedings of 2022 18th IEEE ICCP,
22-24 September, 2022, pp. .
·
B.C.Z. Blaga, S. Nedevschi, Employing Simulators for
Collision-Free Autonomous UAV Navigation, in Proceedings of 2022 18th IEEE ICCP, 22-24 September, 2022.
·
D. Mitrea, C. Mendoiu, P. Mitrea, S. Nedevschi, M.
Lupsor-Platon, M. Rotaru, R. Badea, “HCC Recognition Within B-Mode and CEUS
Images Using Traditional and Deep Learning Techniques”, IFMBE Proceedings,
Volume 88, 2022, pp. 113 – 120.
·
Vlad-Cristian Miclea, Sergiu Nedevschi, “Temporal
Attention for Monocular Depth Estimation in Aerial Scenarios”, Proc. of the International
Conference on Electrical, Computer, Communications and Mechatronics Engineering
(ICECCME), 16-18 November 2022, Maldives
·
V. Miclea, S.
Nedevschi, Real-Time Semantic Segmentation-Based Stereo
Reconstruction, IEEE
Transactions on Intelligent Transportation Systems, vol. 21, pp. 1514-1524,
APR 2020,
·
R. Brehar, M.P.
Muresan, M. Tiberiu, C. Vancea, N. Mihai, S.
Nedevschi, “Pedestrian Street-Cross Action Recognition in Monocular Far
Infrared Sequences”, IEEE ACCESS,
Vol. 9, pp. 74302-74324, JUN 2021.
·
D. Mitrea, R. Badea, P. Mitrea, S. Brad, S.
Nedevschi, “Hepatocellular
Carcinoma Automatic Diagnosis within CEUS and B-Mode Ultrasound Images Using
Advanced Machine Learning Methods”, SENSORS,
Vol. 21, Issue 6, AN 2202, MAR
2021.
·
M.P.
Muresan, S.
Nedevschi, R. Danescu, “Robust Data
Association using Fusion of Data-Driven and Engineered Features for Real Time
Pedestrian Tracking in Thermal Images”, SENSORS,
Vol. 21 Issue 23, AN 8005, NOV 2021.
·
R.
Brehar, T. Marita, M. Negru, S. Nedevschi, “Pedestrian identification in
infrared and visible images based on pose keypoints matching”, Journal of Physics: Conference Series,
Volume 1780, Issue 111, AN 012033, FEB 2021.
·
B.C.Z. Blaga, S. Nedevschi, Weakly Supervised
Semantic Segmentation Learning on UAV Video Sequences, 29th European Signal Processing Conference, EUSIPCO 2021, Dublin, Ireland, 23-27 August 2021
·
R. Brehar, C. Vancea, M.P. Murean, S. Nedevschi, R. Danescu, “Pose Based Pedestrian Street Cross Action
Recognition in Infrared Images”, in Proceedings
of 17th 2021 IEEE
International Conference Intelligent Computer Communication and Processing
(ICCP 2021)
·
S. Deac, C.
Vancea, S. Nedevschi, “MVGNet: 3D
object detection using multi-volume grid representation in urban traffic
scenarios”, in Proceedings of 17th
2021 IEEE International Conference Intelligent Computer Communication and
Processing (ICCP 2021)
·
B. Maxim, S. Nedevschi, “OccTransformers:
Learning occupancy using attention”, in Proceedings
of 17th 2021 IEEE International Conference Intelligent Computer
Communication and Processing (ICCP 2021)
·
M.P. Muresan, R. Marchis, S. Nedevschi, R. Danescu “Stereo and Mono Depth Estimation Fusion for an Improved and
Fault Tolerant 3D Reconstruction”, in Proceedings
of 17th 2021 IEEE International Conference Intelligent Computer
Communication and Processing (ICCP 2021)
·
B. Maxim, S. Nedevschi, “A survey on the current
state of the art on deep learning 3D reconstruction”, in Proceedings of 17th 2021 IEEE International Conference
Intelligent Computer Communication and Processing (ICCP 2021)
·
H. Florea, V.C.
Miclea, S. Nedevschi, “WildUAV:
Monocular UAV Dataset for Depth Estimation Tasks”, in Proceedings of 17th 2021 IEEE International Conference
Intelligent Computer Communication and Processing (ICCP 2021)
·
C.C. Golban, C.P. Cobârzan, S. Nedevschi, “Visual Odometry Drift
Reduction Based on LiDAR Point Clouds Alignment”, in Proceedings of 17th 2021 IEEE International Conference
Intelligent Computer Communication and Processing (ICCP 2021)
·
A. Petrovai, S.
Nedevschi, ”Multi-Task
Network for Panoptic Segmentation in Automated Driving”, Proceeding of 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zeeland, 26-30
October,2019.
·
S.E.C. Deac, I. Giosan, S. Nedevschi, ”Curb
Detection in Urban Traffic Scenarios Using LiDARs Point Cloud and Semantically
Segmented Color Images”,
Proceeding of 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zeeland, 26-30
October,2019.
·
A. Petrovai, S. Nedevschi, “Efficient
instance and semantic segmentation for automated driving”, Proceeding of 2019 IEEE Intelligent Vehicles Symposium (IV), Paris; France; 9 - 12 June, 2019, pp. 2575-2581.
·
D. D. Mitrea,
R. Brehar, P. Mitrea, S. Nedevschi,
M. Platon, R. Badea, “The role of convolutional neural networks in
the automatic recognition of the hepatocellular carcinoma, based on ultrasound
images”, 6th International Conference on Advancements
of Medicine and Health Care through Technology, (MEDITECH 2018); Cluj-Napoca; Romania; 17-20 October 2018, IFMBE Proceedings, volume 71, 2019, pp. 169-175.
·
M.
P. Muresan, S. Nedevschi, Multi-Object
tracking of 3D cuboids using aggregated features, Proceeding of 2019 IEEE
Intelligent Computer Communication and Processing (ICCP), 2019, pp. 11-18.
·
A.
S. Vaida, S. Nedevschi, Automatic
Extrinsic Calibration of LIDAR and Monocular Camera Images, Proceeding of 2019 IEEE Intelligent Computer Communication and Processing (ICCP), 2019, pp. 117-124.
·
R.
Brehar, F. Vancea, T. Marita, C. Vancea, S.
Nedevschi, Object Detection in Monocular Infrared Images Using
Classification – Regresion Deep Learning Architectures, Proceeding of 2019 IEEE Intelligent
Computer Communication and Processing (ICCP), 2019, pp. 207-212.
·
A.
Baraian, S. Nedevschi, Improved 3D Perception based on Color Monocular
Camera for MAV exploiting Image Semantic Segmentation, Proceeding of 2019 IEEE
Intelligent Computer Communication and Processing (ICCP), 2019, pp.
295-301.
·
B.
C. Z. Blaga, S. Nedevschi, Semantic
Segmentation Learning for Autonomous UAVs using Simulators and Real Data, Proceeding of 2019 IEEE Intelligent Computer Communication and Processing (ICCP), 2019, pp. 303-310.
·
M.
P. Muresan , P. A. Szabo, S. Nedevschi,
Dot Matrix OCR for Bottle Validity Inspection, Proceeding of 2019 IEEE
Intelligent Computer Communication and Processing (ICCP), 2019, pp.
395-401.
·
F.
Vancea , D. Mitrea , S. Nedevschi ,
M. Rotaru , H. Stefanescu , R. Badea, Hepatocellular Carcinoma Segmentation
within Ultrasound Images using Convolutional Neural Networks, Proceeding of 2019 IEEE Intelligent Computer Communication and Processing (ICCP),
2019, pp. 483-490.
·
R.
Brehar, D. Mitrea, S. Nedevschi, M.
Platon (Lupsor), M. Rotaru, R. Badea, Hepatocellular Carcinoma Recognition in
Ultrasound Images Using Textural Descriptors and Classical Machine Learning, Proceeding of 2019 IEEE Intelligent Computer Communication and Processing (ICCP),
2019, pp. 491-497.
·
L. Sabattini, M. Aikio, P. Beinschob, M. Boehning, E.
Cardarelli, V. Digani, A. Krengel, M. Magnani, Sz. Mandici, F. Oleari, Ch.
Reinke, Davide, C. Stimming, R. Varga, A. Vatavu, S. C. Lopez, C. Fantuzzi, A.
Mayra, S. Nedevschi, C. Secchi, K.
Fuerstenberg, ” The PAN-Robots Project: Advanced
Automated Guided Vehicle Systems for Industrial Logistics”, IEEE ROBOTICS & AUTOMATION MAGAZINE, pp. 55-64, MARCH 2018.
·
A. D. Costea, A. Petrovai, S. Nedevschi, ”Fusion
Scheme for Semantic and Instance-Level Segmentation”, Proceedings of 2018 IEEE Intelligent Transportation Systems Conference (ITSC),
Maui, Hawaii, USA, November 4-7, 2018, pp. 3469-3475.
·
V. Miclea, S.
Nedevschi, L. Miclea, ”Real-Time Stereo Reconstruction Failure Detection
and Correction Using Deep Learning”, Proceedings
of 2018 IEEE Intelligent Transportation Systems Conference (ITSC), Maui,
Hawaii, USA, November 4-7, 2018, pp. 1095-1102.
·
V. Miclea, S.
Nedevschi, ”Real-Time Semantic Segmentation-Based Depth Up Sampling Using
Deep Learning”, Proceedings of 2018 IEEE
Intelligent Vehicles Symposium (IV), Changzhou, China, June 26-30, 2018,
pp. 300-306.
·
D. Mitrea, S.
Nedevschi, R. Badea, ”Automatic Recognition of the Hepatocellular Carcinoma
from Ultrasound Images using Complex Textural Microstructure Co-Occurrence
Matrices (CTMCM)”, Proceedings of 7th
International Conference on Pattern Recognition Applications and Methods (ICPRAM),
Funchal, PORTUGAL, January 16-18, 2018, pp. 178-189.
·
F. Oniga and S.
Nedevschi,”A
Fast RANSAC Based Approach for Computing the Orientation of Obstacles in
Traffic Scenes”, Proceedings of 2018
14th IEEE International Conference on Intelligent Computer Communication and
Processing (ICCP), Cluj-Napoca, Romania, September 7-9, 2018, pp. 209-2014.
·
M. P. Muresan, S.
Nedevschi, ”Multimodal sparse LIDAR object tracking in clutter”, Proceedings of 2018 14th IEEE International
Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, Romania, September 7-9, 2018, pp. 215-222.
·
H. Florea, R. Varga, S. Nedevschi, ”Environment
Perception Architecture using Images and 3D Data”, Proceedings of 2018 14th IEEE International Conference on Intelligent
Computer Communication and Processing (ICCP), Cluj-Napoca, Romania,
September 7-9, 2018, pp. 223-228.
·
F. I. Vancea, S.
Nedevschi, “Semantic
information based vehicle relative orientation and taillight detection”, Proceedings of 2018 14th IEEE International
Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, Romania, September 7-9, 2018, pp. 259-264.
·
S. E. C. Goga, S.
Nedevschi, “Fusing
semantic labeled camera images and 3D LiDAR data for the detection of urban
curbs”, Proceedings of 2018 14th IEEE
International Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, Romania, September 7-9, 2018, pp. 301-308.
·
R. Brehar, F. Vancea, T. Marita, S. Nedevschi, “A Deep Learning Approach For Pedestrian Segmentation
In Infrared Images”, Proceedings of 2018
14th IEEE International Conference on Intelligent Computer Communication and
Processing (ICCP), Cluj-Napoca, Romania, September 7-9, 2018, pp. 253-258.
·
B. C. Z. Blaga, S.
Nedevschi, “A Method for Automatic Pole Detection from Urban Video Scenes
using Stereo Vision”, Proceedings of 2018
14th IEEE International Conference on Intelligent Computer Communication and
Processing (ICCP), Cluj-Napoca, Romania, September 7-9, 2018, pp. 293-300.
·
M. Drulea, A. Vatavu, S. Mandici, S. Nedevschi, “An omnidirectional stereo system for logistic
plants. Part 1: Calibration and multi-channel rectification”, Proceedings of the Romanian Academy Series A
- Mathematics Physics Technical Sciences Information Science, 18(1), pp.
89-97, 2017.
·
M. Drulea, A. Vatavu, S. Mandici, S. Nedevschi, “An omnidirectional stereo system for logistic plants.
Part 2: Stereo reconstruction and obstacle detection using digital elevation
maps”, Proceedings of the Romanian
Academy Series A - Mathematics Physics Technical Sciences Information Science,
18(3), pp. 265-272, 2017.
·
A. Ciurte, S.
Nedevschi, I. Rasa, “Systems of nonlinear algebraic
equations with positive solutions”, Journal of Inequalities and Applications, 2017 (1), 178.
·
A. D. Costea, R. Varga, S. Nedevschi,” Fast Boosting Based
Detection Using Scale Invariant Multimodal Multiresolution Filtered Features”,
Proceedings of 2017 IEEE Conference on
Computer Vision and Pattern Recognition (CVPR), 2017, pp. 993-1002.
·
A. Petrovai, A. D. Costea, S. Nedevschi, “Semi-automatic image
annotation of street scenes”, Proceedings
of 2017 IEEE Intelligent Vehicles Symposium (IV), 2017, pp. 448-455.
·
V. C. Miclea, S.
Nedevschi, “Semantic segmentation-based stereo
reconstruction with statistically improved long range accuracy”, Proceedings of 2017 IEEE Intelligent
Vehicles Symposium (IV), 2017, pp.1795-1802.
·
A. D. Costea, S.
Nedevschi, “Traffic scene segmentation based on
boosting over multimodal low, intermediate and high order multi-range channel
features”, Proceedings of 2017
IEEE Intelligent Vehicles Symposium (IV), 2017, pp.74-81.
·
R. Varga, A. D.Costea, H. Florea, I. Giosan, S. Nedevschi, "Super-sensor for
360-degree Environment Perception: Point Cloud Segmentation Using Image
Features", Proceedings of 2017 IEEE
Intelligent Transportation Systems Conference (ITSC), Yokohama, best
student paper award.
·
F. Vancea, A. Costea, S. Nedevschi, “Vehicle taillight detection and tracking using
deep learning and thresholding for candidate generation”, Proceedings
of 2017 IEEE Intelligent Computer Communication and
Processing (ICCP), 2017, pp. 267-272.
·
B. Z. Blaga, S. Nedevschi, “Online Cross-Calibration of Camera and LIDAR”, Proceedings of 2017 IEEE Intelligent Computer Communication and
Processing, 2017, pp. 295-301.
·
S. Goga, S. Nedevschi, “An approach for segmenting 3D LiDAR data using
multi-volume grid structures”, Proceedings
of 2017 IEEE Intelligent Computer Communication and
Processing (ICCP), 2017, pp. 309-315.
·
M. P. Muresan, S. Nedevschi, “Real-Time Object Detection Using a Sparse 4-Layer
LIDAR”, Proceedings of 2017 IEEE Intelligent Computer Communication and
Processing, (ICCP) 2017, pp. 317-322.
·
R. Varga, S. Nedevschi, “Lazy Feature Extraction and Boosted Classifiers
for Object Detection”, Proceedings of 2017 IEEE Intelligent Computer Communication and
Processing (ICCP), 2017, pp. 325-330.
·
G. Jasko, I. Giosan, S. Nedevschi, “Animal Detection from Traffic Scenarios Based on
Monocula Color Vision”, Proceedings
of 2017 IEEE Intelligent Computer Communication and
Processing (ICCP), 2017, pp. 363-368.
·
M. P. Muresan, S. Nedevschi, R. Danescu, “A Multi Patch Warping Approach for
Improved Stereo Block Matching”, Proceedings of the 12th International Joint
Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
(VISIGRAPP 2017), 2017, pp. 459-466.
·
S.
Nedevschi, “Perception for Automated Vehicles”, keynote presentation at 21st International Conference on
System Theory, Control and Computing, October 19 - 21, 2017.
·
D. Mitrea, S.
Nedevschi, M. Abrudean, M. Lupsor-Platon, and R. Badea,
"The Role of the Textural Microstructure Co-occurrence Matrices in the
Automatic Detection of the Cirrhosis Severity Grades from Ultrasound
Images", Control Engineering and Applied Informatics, vol. 18, pp.
96-106, Dec 2016.
·
D. Mitrea, S. Nedevschi, R. Badea, “The role
of the complex extended textural microstructure co-occurrence matrix in the
unsupervised detection of the HCC evolution phases, based on ultrasound
images”, in Proceedings of 5th International Conference on Pattern
Recognition Applications and Methods (ICPRAM 2016), Rome, Italy, 24-26
February, 2016, pp. 698-705.
·
R. Varga, S. Nedevschi, “Robust Pallet
Detection for Automated Logistics Operations”, in Proceedings of 11th Joint
Conference on Computer Vision, Imaging and Computer Graphics Theory and
Applications, Roma, Italy, 27-29 February, 2016, pp. 470-477.
·
I. Giosan, S. Nedevschi, “Superpixels in
Pedestrian Detection from Stereo Images in Urban Traffic Scenarios”, in Proceedings
of 11th Joint Conference on Computer Vision, Imaging and Computer Graphics
Theory and Applications, Roma, Italy, 27-29 February, 2016, pp. 501-508.
·
C. Vancea, V. Miclea, S. Nedevschi,
“Improving stereo reconstruction by sub-pixel correction using histogram
matching”, Proceedings of 2016 IEEE IV Symposium, Goteborg, Sweden,
19-22 June, 2016, pp. 335 - 341.
·
A. Costea, S. Nedevschi, “Fast traffic scene
segmentation using multi-range features from multi-resolution filtered and
spatial context channels”, Proceedings of 2016 IEEE IV Symposium, Goteborg, Sweden, 19-22 June, 2016, pp.
328-334.
·
A. Costea, S.
Nedevschi, “Semantic Channels for Fast Pedestrian Detection”, Proceedings
of CVPR 2016, Las Vegas, USA, June, 2016, pp. 2360-2368.
·
C. Decean, S.
Nedevschi, “Stereoscopic Scene Flow estimation with global motion prior”, Proceedings
of 2016 IEEE ICCP, Cluj-Napoca, Romania, 7-9 September 2016, pp. 199 - 206.
·
B. Coseriu, M. Negru, S.
Nedevschi, “Contrast Restoration of Foggy Images on the ZYNQ Embedded
Platform”, Proceedings of 2016 IEEE ICCP, Cluj-Napoca, Romania, 7-9
September 2016, pp. 207 - 214.
·
C. Vancea, S.
Nedevschi, “FPGA-based stereo vision hardware for generating dense
disparity maps”, Proceedings of 2016 IEEE ICCP, Cluj-Napoca, Romania,
7-9 September 2016, pp. 225 - 232.
·
V. Miclea, S.
Nedevschi, ”Optimizing Census-based Semi Global Matching by Genetic
Algorithms”, Proceedings of 2016 IEEE ICCP, Cluj-Napoca, Romania, 7-9
September 2016, pp. 193 - 198.
·
A. Marginean, A.
Petrovai, R. Slavescu, M. Negru, S. Nedevschi, “Enhancing Digital Maps
to Support Reasoning on Traffic Sign Compliance”, Proceedings of 2016 IEEE
ICCP, Cluj-Napoca, Romania, 7-9 September 2016, pp. 277 - 284.
·
A. Petrovai, R. Danescu,
M. Negru, C. Vancea, S. Nedevschi , “A Stereovision based Rear-End
Collision Warning System on Mobile Devices”, Proceedings of 2016 IEEE ICCP,
Cluj-Napoca, Romania, 7-9 September 2016, pp. 285 - 292.
·
M. Muresan, S.
Nedevschi, R. Danescu, “Patch warping and local constraints for improved
block matching stereo correspondence”, Proceedings of 2016 IEEE ICCP,
Cluj-Napoca, Romania, 7-9 September 2016, pp. 321 - 327.
·
S. Mandici, S.
Nedevschi, “Real-Time Multi-Resolution Digital Elevation Map Creation using
the Sensor Model of a Stereovision Sensor”, Proceeding of 2016 IEEE ITSC,
Rio De Janeiro, Brazil, 1- 4 November, 2016, pp. 608-615.
·
A. Ciurte, S. Nedevschi and I. Rasa, "Systems of nonlinear algebraic
equations with unique solution", Numerical Algorithms, vol. 68, pp.
367-376, Feb 2015.
·
M. Negru, S. Nedevschi and R. I. Peter, "Exponential Contrast
Restoration in Fog Conditions for Driving Assistance", IEEE
Transactions on Intelligent Transportation Systems, vol. 16, pp. 2257-2268,
Aug 2015.
·
V. Popescu, S. Nedevschi, R. Danescu, T. Marita, “A Lane Assessment Method
Using Visual Information Based on a Dynamic Bayesian Network”, Journal of
Intelligent Transportation Systems: Technology, Planning, and Operations,
vol. 19, No. 3, 2015, pp. 225-239, ISSN 1547-2442.
·
A. Vatavu, R. Danescu, S. Nedevschi, “Stereovision-Based Multiple Object Tracking in
Traffic Scenarios using Free-Form Obstacle Delimiters and Particle Filters”, IEEE
Transactions on Intelligent Transportation Systems, vol. 16, No. 1, pp.
498-511, February 2015.
·
C. Vicas and S. Nedevschi, "Detecting Curvilinear Features Using
Structure Tensors", IEEE Transactions on Image Processing, vol. 24,
pp. 3874-3887, Nov 2015.
·
A. Petrovai, R. Danescu, S.
Nedevschi, "A stereovision based approach for detecting and tracking
lane and forward obstacles on mobile devices", Proceedings of 2015 IEEE
Intelligent Vehicles Symposium (IV), June 28 - July 1, 2015, COEX, Seoul,
Korea, pp. 634-641.
·
A. Costea, A. Vatavu, S.
Nedevschi, “Obstacle Localization and Recognition for Autonomous Forklifts
using Omnidirectional Stereovision”, Proceedings of 2015 IEEE Intelligent
Vehicles Symposium (IV), June 28 - July 1, 2015, COEX, Seoul, Korea, pp.
531-536.
·
A. Vatavu, A. Costea, S.
Nedevschi, Modeling and Tracking of Dynamic Obstacles for Logistic Plants
using Omnidirectional Stereo Vision, Proceedings of IEEE IROS 2015, pp.
3552-3558.
·
A. Costea, Andreea
Valeria Vesa, S. Nedevschi, "Fast Pedestrian Detection for Mobile
Devices", Proceedings of ITSC 2015, Gran Canaria, Spain, pp. 2364 -
2369.
·
R. Danescu, A. Petrovai,
R. Itu, S. Nedevschi, "Generic Obstacle Detection for Mobile
Devices Using a Dynamic Intermediate Representation", Proceedings of
AECIA 2015, proceedings in print.
·
A. Marginean, A.
Petrovai, M. Negru, S. Nedevschi, "Cooperative Application for Lane
Change Maneuver on Smart Mobile Devices", Proceedings of IEEE ICCP 2015,
Cluj-Napoca, pp. 279 - 286.
·
F. Oniga, S. Prodan, S.
Nedevschi, “Traffic Light Detection on Mobile Devices”, Proceedings of
2015 IEEE ICCP (ICCP), Cluj-Napoca, pp. 287 - 292.
·
R. Brehar, C. Vancea, T.
Marita, I. Giosan, S. Nedevschi, "Pedestrian Detection in the
Context of Multiple-Sensor Data Alignment for Far-Infrared and Stereo Vision
Sensors", Proceedings of 2015 IEEE ICCP (ICCP), Cluj-Napoca, pp.
385 - 392.
·
A. Mayra, M. Aikio, K.
Ojala, Sz. Mandici, A. Vatavu, S. Nedevschi, “Fisheye optics for
omnidirectional stereo camera”, Proceedings of 2015 IEEE ICCP (ICCP),
Cluj-Napoca, pp. 225-230.
·
Sz. Mandici, S.
Nedevschi, “Probabilistic Inverse Sensor Model based Digital Elevation Map
Creation for an Omnidirectional Stereovision System”, Proceedings of 2015
IEEE ICCP (ICCP), Cluj-Napoca, pp. 231-237.
·
C. Stimming, A. Krengel,
M. Boehning, A.i Vatavu, Sz. Mandici, S. Nedevschi, “Multi-level
On-board Data Fusion for 2D Safety Enhanced by 3D Perception for AGVs”, Proceedings
of 2015 IEEE ICCP (ICCP), Cluj-Napoca, pp. 239-244.
·
R. Varga, A. Costea, S.
Nedevschi, “Improved Autonomous Load Handling with Stereo Cameras”, Proceedings
of 2015 IEEE ICCP (ICCP), Cluj-Napoca, pp. 251-255.
·
V. Miclea, C. Vancea, S.
Nedevschi, “New Sub-Pixel Interpolation Functions for Accurate Real-Time
Stereo-Matching Algorithms”, Proceedings of 2015 IEEE ICCP (ICCP),
Cluj-Napoca, pp. 173-178.
·
M. Muresan, M. Negru, S.
Nedevschi, “Improving local stereo algorithms using binary shifted windows,
fusion and smoothness constraint”, Proceedings of 2015 IEEE ICCP (ICCP),
Cluj-Napoca, pp. 179-185.
·
C. Decean, S.
Nedevschi, “Fusion of Stereo and Structure from Motion for enhancing PatchMatch
Stereo”, Proceedings of 2015 IEEE ICCP (ICCP), Cluj-Napoca, pp. 187-193.
·
C. Golban, P. Cobarzan, S.
Nedevschi, “Direct formulas for stereo-based visual odometry error
modeling”, Proceedings of 2015 IEEE ICCP (ICCP), Cluj-Napoca, pp.
197-202.
·
F. Oniga, E. Sarkozi, S.
Nedevschi, “Fast Obstacle Detection Using U-Disparity Maps with Stereo
Vision”, Proceedings of 2015 IEEE ICCP (ICCP), Cluj-Napoca, pp. 203-207.
·
I. Giosan, S.
Nedevschi, C. Pocol, “Shape improvement of traffic pedestrian hypotheses by
means of stereo-vision and superpixels”, Proceedings of 2015 IEEE ICCP (ICCP),
Cluj-Napoca, pp. 217-222.
·
L. Patras, I. Giosan, S.
Nedevschi, “Body gesture validation using multi-dimensional dynamic time
warping on Kinect data”, Proceedings of 2015 IEEE ICCP (ICCP),
Cluj-Napoca, pp. 301-307.
·
R. Varga, S.
Nedevschi, Pallet loading and unloading, Final Public Event of PAN-Robots
project, 27 October 2015, Bilbao, Spain.
·
S.
Nedevschi, 3D Omnidirectional Stereovision for Autonomous
Forklift, Final Public Event of PAN-Robots project, 27 October 2015, Bilbao,
Spain.
·
A. Vatavu and S. Nedevschi, Vision Based Motion Estimation of Obstacles in
Dynamic Unstructured Environments, vol. 283. Cham: Springer International
Publishing, 2014, p. 235–249.
·
R. Danescu and S. Nedevschi, “A Particle-Based Solution for Modeling and
Tracking Dynamic Digital Elevation Maps”, IEEE Transactions on Intelligent
Transportation Systems, p. 1–14, 2014.
·
A. Costea, S.
Nedevschi, “Word Channel Based Multiscale Pedestrian Detection Without
Image Resizing and Using Only One Classifier”, Proceedings of 2014 IEEE
Conference on Computer Vision and Pattern Recognition (CVPR), pp.
2393-2400, 2014.
·
A. Costea, S.
Nedevschi, “Multi-class segmentation for traffic scenarios at over 50 FPS”,
Proceedings of 2014 Intelligent Vehicles Symposium (IV), Dearborn, USA,
2014, pp. 1390-1395,
·
R. Brehar, S.
Nedevschi, “Scan Window Based Pedestrian Recognition Methods Improvement By
Search Space And Scale Reduction”, ”, Proceedings
of 2014 Intelligent Vehicles Symposium (IV), Dearborn, USA, 2014, pp.
529-534.
·
I. Giosan, S.
Nedevschi, “Superpixel-based Obstacle Segmentation from Dense Stereo Urban
Traffic Scenarios Using Intensity, Depth and Optical Flow Information”, Proceedings
of 2014 IEEE Intelligent Transportation Systems Conference (ITSC), October
8-11, Qingdao, China, pp. 1662-1668.
·
M. Negru, S. Nedevschi,
Ioan R. Peter, “Exponential Image Enhancement in Daytime Fog Conditions”, Proceedings
of 2014 IEEE Intelligent Transportation Systems Conference (ITSC), October
8-11, Qingdao, China, pp. 1675-1681.
·
R. Brehar, S.
Nedevschi, “Pedestrian Detection in Infrared Images Using HOG, LBP,
Gradient Magnitude and Intensity Feature Channels”, Proceedings of 2014 IEEE
Intelligent Transportation Systems Conference (ITSC), October 8-11,
Qingdao, China, pp. 1669-1674.
·
A. Vatavu, R. Danescu, S.
Nedevschi, “Modeling and Tracking of Crowded Traffic Scenes by using Policy
Trees, Occupancy Grid Blocks and Bayesian Filters”, Proceedings of 2014 IEEE
Intelligent Transportation Systems Conference (ITSC), October 8-11,
Qingdao, China, pp. 1948-1955.
·
R. Varga, V. Vesa, P.
Jeong, S. Nedevschi, “Real-time Pedestrian Detection in Urban
Scenarios”, Proceedings of 2014 IEEE International Conference on Intelligent
Computer Communication and Processing (ICCP), September 4-6, Cluj-Napoca,
Romania, 2014, pp. 113-118.
·
A. Iloie, I. Giosan, S.
Nedevschi, “UV disparity based obstacle detection and pedestrian
classification in urban traffic scenarios”, in Proceedings of 2014 IEEE
International Conference on Intelligent Computer Communication and Processing (ICCP),
September 4-6, Cluj-Napoca, Romania, 2014, pp. 119-126.
·
R. Brehar, C. Vancea, S.
Nedevschi, “Pedestrian Detection in Infrared Images using Aggregated
Channel Features”, in Proceedings of 2014 IEEE International Conference on
Intelligent Computer Communication and Processing (ICCP), September 4-6,
Cluj-Napoca, Romania, 2014, pp. 127-132.
·
M. Muresan, R. Brehar, S.
Nedevschi, “Vision Algorithms and embedded solution for pedestrian
detection with far infrared camera”, in Proceedings of 2014 IEEE
International Conference on Intelligent Computer Communication and Processing (ICCP),
September 4-6, Cluj-Napoca, Romania, 2014, pp. 133-140.
·
A. Petrovai, A. Costea,
F. Oniga, S. Nedevschi, “Obstacle detection using stereovision for
Android-based mobile devices”, in Proceedings of 2014 IEEE International
Conference on Intelligent Computer Communication and Processing (ICCP),
September 4-6, Cluj-Napoca, Romania, 2014, pp. 141-148.
·
S. Mandici, S.
Nedevschi, “Aggregate Road Surface based Environment Representation using
Digital Elevation Maps”, in Proceedings of 2014 IEEE International
Conference on Intelligent Computer Communication and Processing (ICCP),
September 4-6, Cluj-Napoca, Romania, 2014, pp. 149-156.
·
C. Golban, S. Nedevschi, “Moving rigid objects segmentation in 3D dynamic
traffic scenes using a stereovision system”, in Proceedings of 2014 IEEE
International Conference on Intelligent Computer Communication and Processing (ICCP),
September 4-6, Cluj-Napoca, Romania, 2014, pp. 165-170.
·
D. Mitrea, S. Nedevschi R. Badea, “The Role of the Textural Microstructure
Coocurrence Matrices in the Classification of the Abdominal Tumors, based on
Ultrasound Images”, in Proceedings of 2014 IEEE International Conference on
Intelligent Computer Communication and Processing (ICCP), September 4-6,
Cluj-Napoca, Romania, 2014, pp. 187-190.
·
M. Negru, V. Benea, S. Nedevschi “Fog Assistance on Smart Mobile Devices”, in Proceedings
of 2014 IEEE International Conference on Intelligent Computer Communication and
Processing (ICCP), September 4-6, Cluj-Napoca, Romania, 2014, pp.197-204.
·
P. Jeong, A. Vesa, A.
Rarau, S.
Nedevschi “Real-time driving
assistant application for Android-based mobile devices”, in Proceedings of
2014 IEEE International Conference on Intelligent Computer Communication and
Processing (ICCP), September 4-6, Cluj-Napoca, Romania, 2014, pp.205-210.
·
R. Varga, S. Nedevschi, “Vision-based Autonomous Load Handling for Automated
Guided Vehicles”, in Proceedings of 2014 IEEE International Conference on
Intelligent Computer Communication and Processing (ICCP), September 4-6,
Cluj-Napoca, Romania, 2014, pp. 239-244.
·
M. Drulea, I. Szakats, A.
Vatavu, S.
Nedevschi, “Omnidirectional stereo
vision using fisheye lenses”, in Proceedings of 2014 IEEE International
Conference on Intelligent Computer Communication and Processing (ICCP),
September 4-6, Cluj-Napoca, Romania, 2014, pp. 251-258.
·
S. Nedevschi, M. Drulea, R. Varga,
I.Szakats, A. Vatavu, “Stereovision systems for autonomous driving and
autonomous logistics”, EU Robotics Forum, March 12-14, Rovereto, Italy,
2014.
·
S. Nedevschi, T. Marita, R.Danescu,
F. Oniga, A. Vatavu, M. Drulea, “Multi-scale, multi-modal perception of dynamic
3D environment based on the fusion of dense stereo, optical flow and virtual
odometry information”, Romanian Research Convention, Inventions and
Innovations Show - Inventika 2014, Bucharest, October 15-18, 2014.
·
S. Nedevschi, V. Popescu, R. Danescu,
T. Marita, and F. Oniga, “Accurate Ego-Vehicle Global Localization at
Intersections Through Alignment of Visual Data With Digital Map”, IEEE
Transactions on Intelligent Transportation Systems, vol. 14, no. 2, p.
673–687, 2013.
·
M. Drulea and S. Nedevschi, “Motion Estimation Using the Correlation
Transform”, IEEE Transactions on Image Processing, vol. 22, no. 8, p.
3260–3270, Aug. 2013.
·
R. Varga and S. Nedevschi, “Label Transfer by Measuring Compactness”, IEEE
Transactions on Image Processing, vol. 22, no. 12, p. 4711–4723, Dec. 2013.
·
V. Popescu, S. Nedevschi, R. Danescu, and T. Marita, “A Lane Assessment
Method Using Visual Information Based on a Dynamic Bayesian Network”, Journal
of Intelligent Transportation Systems, Oct. 2013.
·
B. Belean, M. Borda, A.
Bot, and S.
Nedevschi, “Low Complexity
Approach for High Throughput Belief-Propagation based Decoding of LDPC Codes”, Advances
in Electrical and Computer Engineering, vol. 13, no. 4, p. 69–72, 2013.
·
R. Danescu and S. Nedevschi, “Flexible solution for modeling and tracking
generic dynamic 3D environments”, in 2013 IEEE16th International Conference
on Intelligent Transportation Systems (ITSC 2013), The Hague, Netherlands,
2013, p. 1686–1692.
·
R. Brehar and S. Nedevschi, “Pedestrian detection in traffic scenes using
multi-attitude classifiers”, in 2013 IEEE16th International Conference on
Intelligent Transportation Systems (ITSC 2013), The Hague, Netherlands,
2013, p. 1077–1082.
·
F. Oniga, A. Trif, and S. Nedevschi, “Stereovision for obstacle detection on smart
mobile devices: First results”, in 2013 IEEE16th International Conference on
Intelligent Transportation Systems (ITSC 2013), The Hague, Netherlands,
2013, p. 342–347.
·
A. Vatavu, R. Danescu,
and S.
Nedevschi, “Tracking multiple
objects in traffic scenarios using free-form obstacle delimiters and particle
filters”, in 2013 IEEE16th International Conference on Intelligent
Transportation Systems (ITSC 2013), The Hague, Netherlands, 2013, p.
1346–1351.
·
A. Vatavu and S. Nedevschi, “Modeling unstructured environments with dynamic
persistence grids and object delimiters in urban traffic scenarios”, in 2013
IEEE Intelligent Vehicles Symposium (IV), Gold Coast City, Australia, June
23-26, 2013, 2013, p. 505–510.
·
A. Vatavu and S. Nedevschi, “Vision-based tracking of multiple objects in
dynamic unstructured environments using free-form obstacle delimiters”, in 2013
European Conference on Mobile Robots, Barcelona, Catalonia, Spain, 2013, p.
367–372.
·
A. Ciurte, S. Nedevschi, and I. Rasa, “A Generic Statistical Approach for
Emission Computed Tomography Reconstruction”, in 2013 IEEE 9th
International Conference on Intelligent Computer Communication and Processing,
2013, vol. 1, p. 77-82.
·
D. Mitrea, M. P. Lupsor, S. Nedevschi, and R. Badea, “Discovering the cirrhosis grades
from ultrasound images by using textural features and clustering methods”, in 2013
36th International Conference on Telecommunications and Signal Processing (TSP),
Rome, Italy, 2013, p. 633–637.
·
R. Brehar and S. Nedevschi, “Local information statistics of LBP and HOG for
pedestrian detection”, in Proceedings - 2013 IEEE 9th International
Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, 2013, p. 117–122.
·
C. Cosma, R. Brehar, and S. Nedevschi, “Pedestrians detection using a cascade of LBP and
HOG classifiers”, in Proceedings of 2013 IEEE 9th International Conference
on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca,
2013, p. 69–75.
·
A. - E. Nagy, I. Szakats,
T. Marita, and S.
Nedevschi, “Development of an omnidirectional
stereo vision system”, in Proceedings of 2013 IEEE 9th International
Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, 2013, p. 235–242.
·
N. Tomasev, D. Pracner, R.
Brehar, M. Radovanovic, D. Mladenic, M. Ivanovic, and S. Nedevschi, “Object recognition in wikimage data based on
local invariant image features”, in Proceedings - 2013 IEEE 9th International
Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, 2013, p. 139–146.
·
C. Golban and S. Nedevschi, “Speed estimation for scene objects using stereo
visual odometry methods”, in Proceedings of 2013 IEEE 9th International
Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, 2013, p. 91–94.
·
C. Golban and S. Nedevschi, “An experiment on relative rotation estimation
from distant points with monocular vision”, in Proceedings of 2013 IEEE 9th
International Conference on Intelligent Computer Communication and Processing
(ICCP), Cluj-Napoca, 2013, p. 243–248.
·
A. Daniel Costea and S. Nedevschi, “Image context classification based on visual
codebook feature boosting”, in Proceedings of 2013 IEEE 9th International
Conference on Intelligent Computer Communication and Processing (ICCP),
Cluj-Napoca, 2013, p. 133–138.
·
A. Trif, F. Oniga, and S. Nedevschi, “Stereovision on mobile devices for obstacle
detection in low speed traffic scenarios”, in Proceedings of 2013 IEEE 9th
International Conference on Intelligent Computer Communication and Processing
(ICCP), Cluj-Napoca, 2013, p. 169–174.
·
F. Florian, I. Giosan,
and S.
Nedevschi, “Pedestrian detection
from traffic scenes based on probabilistic models of the contour fragments”, in
Proceedings of 2013 IEEE 9th International Conference on Intelligent Computer
Communication and Processing (ICCP), Cluj-Napoca, 2013, p. 95–102.
·
I. Giosan, A. Daniel
Costea, and S.
Nedevschi, “Urban traffic
dense-stereo obstacle classification using boosting over visual codebook
features”, in Proceedings of 2013 IEEE 9th International Conference on
Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, 2013, p.
111–116.
·
M. Negru and S. Nedevschi, “Image based fog detection and visibility
estimation for driving assistance systems”, in Proceedings of 2013 IEEE 9th
International Conference on Intelligent Computer Communication and Processing
(ICCP), Cluj-Napoca, 2013, p. 163–168.
·
B. Belean, S. Nedevschi, and M. Borda, “Application specific hardware
architecture for high-throughput short-length LDPC decoders”, in Proceedings of
2013 IEEE 9th International Conference on Intelligent Computer Communication
and Processing (ICCP), Cluj-Napoca, 2013, p. 307–310.
·
C. D. Pantilie and S. Nedevschi, “SORT-SGM: Subpixel Optimized Real-Time
Semiglobal Matching for Intelligent Vehicles”, IEEE Transactions on
Vehicular Technology, vol. 61, no. 3, p. 1032–1042, Mar. 2012
·
I. Haller and S. Nedevschi, “Design of Interpolation Functions for
Subpixel-Accuracy Stereo-Vision Systems”, IEEE Transactions on Image Processing,
vol. 21, no. 2, p. 889–898, Feb. 2012.
·
D. Mitrea, S. Nedevschi, M. Socaciu, and R. Badea, “The role of the
superior order GLCM in the characterization and recognition of the liver tumors
from ultrasound images”, Radioengineering, vol. 21, no. 1, p. 79–85,
2012.
·
A. Ciurte, S. Nedevschi, and I. Rasa, “An algorithm for solving some
nonlinear systems with applications to extremum problems”, Taiwanese Journal
of Mathematics, vol. 16, no. 3, p. 1137 – 1150, 2012.
·
C. Vicas, M. Lupsor, M.
Socaciu, S. Nedevschi, and R. Badea, “Influence of Expert-Dependent
Variability over the Performance of Noninvasive Fibrosis Assessment in Patients
with Chronic Hepatitis C by Means of Texture Analysis”, Computational and
Mathematical Methods in Medicine, vol. 2012, p. 1–9, 2012.
·
D. Mitrea, P. Mitrea, S. Nedevschi, R. Badea, M. Lupsor, M. Socaciu, A. Golea, C.
Hagiu, and L. Ciobanu, “Abdominal Tumor Characterization and Recognition Using
Superior-Order Cooccurrence Matrices, Based on Ultrasound Images”, Computational
and Mathematical Methods in Medicine, vol. 2012, p. 1–17, 2012.
·
A. I. Mitrea, R. Badea,
D. Mitrea, S.
Nedevschi, P. Mitrea, D. M. Ivan,
and O. M. Gurzău, “Iterative Methods for Obtaining Energy-Minimizing
Parametric Snakes with Applications to Medical Imaging”, Computational and
Mathematical Methods in Medicine, vol. 2012, p. 1–11, 2012.
·
R. Danescu, C. Pantilie,
F. Oniga, and S.
Nedevschi, “Particle Grid Tracking
System Stereovision Based Obstacle Perception in Driving Environments”, IEEE
Intelligent Transportation Systems Magazine, vol. 4, no. 1, p. 6–20, 2012.
·
A. Vatavu, R. Danescu,
and S.
Nedevschi, “Real-time dynamic
environment perception in driving scenarios using difference fronts”, in 2012
IEEE Intelligent Vehicles Symposium (IV), Alcala de Henares, Spain, June, 2012, p. 717–722.
·
C. Golban, S. Istvan, and
S.
Nedevschi, “Stereo based visual
odometry in difficult traffic scenes”, in 2012 IEEE Intelligent Vehicles
Symposium (IV), Alcala
de Henares, Spain, June, 2012, p. 736–741.
·
V. Popescu, R. Danescu,
and S.
Nedevschi, “On-road position
estimation by probabilistic integration of visual cues”, in 2012 IEEE
Intelligent Vehicles Symposium (IV), Alcala de Henares, Spain, June, 2012, p. 583–589.
·
A. Vatavu and S. Nedevschi, “Real-time modeling of dynamic environments in
traffic scenarios using a stereo-vision system”, in 2012 15th International
IEEE Conference on Intelligent Transportation Systems (ITSC), Anchorage,
USA, September, 2012, p. 722–727.
·
S. Nedevschi, I. R. Peter, and A. Mandrut,
“PCA type algorithm applied in face recognition”, in 2012 IEEE 8th
International Conference on Intelligent Computer Communication and Processing,
2012, p. 167–171.
·
I. Giosan and S. Nedevschi, “A solution for probabilistic inference and
tracking of obstacles classification in urban traffic scenarios”, in 2012
IEEE 8th International Conference on Intelligent Computer Communication and
Processing, 2012, p. 221–227.
·
A. Vatavu and S. Nedevschi, “Vision based Real-time Modeling of Dynamic
Unstructured Environments in Driving Scenarios”, in Proceedings of the 9th
International Conference on Informatics in Control, Automation and Robotics,
Volume 2, Rome, Italy, 28 - 31 July, 2012, 2012, p. 141–149.
·
D. Pojar and S. Nedevschi, “Improving Stereo Vision Odometry for Mobile
Robots in Outdoor Dynamic Environments”, in Proceedings of the 9th
International Conference on Informatics in Control, Automation and Robotics,
Volume 2, Rome, Italy, 28 - 31 July, 2012, 2012, p. 476–480.
·
V. Popescu and S. Nedevschi, “Cut-in maneuver recognition and behavior
generation using Bayesian networks and fuzzy logic”, in 2012 IEEE 8th
International Conference on Intelligent Computer Communication and Processing,
2012, p. 123–130.
·
A. C. Cosma, R. Brehar,
and S.
Nedevschi, “Part-based pedestrian
detection using HoG features and vertical symmetry”, in 2012 IEEE 8th
International Conference on Intelligent Computer Communication and Processing,
2012, p. 229–236.
·
D. Pojar, P. Jeong, and S. Nedevschi, “Robust visual odometry using stereo
reconstruction error model”, in 2012 IEEE 8th International Conference on
Intelligent Computer Communication and Processing, 2012, p. 149–154.
·
C. D. Pantilie and S. Nedevschi, “Optimizing the Census Transform on CUDA enabled
GPUs”, in 2012 IEEE 8th International Conference on Intelligent Computer
Communication and Processing, 2012, p. 201–207.
·
P. Jeong, D. Pojar, and S. Nedevschi, “Accurate localization of mobile robot under the
weakly callibrated motion model”, in 2012 IEEE 8th International Conference
on Intelligent Computer Communication and Processing, 2012, p. 141–147.
·
D. Mitrea, S. Nedevschi, and R. Badea, “The Role of the Multiresolution
Textural Features in Improving the Characterization and Recognition of the
Liver Tumors, Based on Ultrasound Images”, in 2012 14th International
Symposium on Symbolic and Numeric Algorithms for Scientific Computing
(SYNASC), Timisoara, Romania, September 26-29, 2012, 2012, p. 192–199.
·
R. Danescu, F. Oniga, and
S.
Nedevschi, “Modeling and Tracking
the Driving Environment With a Particle-Based Occupancy Grid”, IEEE
Transactions on Intelligent Transportation Systems, vol. 12, no. 4, p.
1331–1342, Dec. 2011.
·
C. Vicas, M. Lupsor, R.
Badea, and S.
Nedevschi, “Usefulness of textural
analysis as a tool for noninvasive liver fibrosis staging”, Journal of
Medical Ultrasonics, vol. 38, no. 3, p. 105–117, Jul. 2011.
·
S. Dǎnescu,
S. ŞEnilǎ, L. Leluţiu, S. Nedevschi, and R. Cosgarea, “Dystrophic epidermolysis
bullosa: Two case reports”, Romanian Journal of Morphology and Embryology,
vol. 52, no. 3, p. 919–922, 2011
·
C. I. Radu, M.
Grigorescu, M. Lupşor, C. Vicaş, S. Nedevschi, R. Badea, Z. Spârchez, D. Crisan, and A. Serban,
“863 Comparison Between Three Non-Invasive Methods for the Diagnosis of
Steatosis in Non-Alcoholic Fatty Liver Disease: Attenuation Coefficient
Computed on the Ultrasound Image, Adiponectin and Steatotest”, Journal of
Hepatology, vol. 54, no. S1, p. S344, Mar. 2011.
·
A. Vatavu, S. Nedevschi, and F. Oniga, Real Time Environment Representation
in Driving Scenarios Based on Object Delimiters Extraction, in Lecture Notes in Electrical
Engineering 85 LNEE, Springer Berlin Heidelberg,
2011, p. 255–267.
·
M. Lupsor, R. Badea, C.
Vicas, S.
Nedevschi, H. Stefanescu, M.
Grigorescu, C. Radu, and D. Crisan, Non-invasive Steatosis Assessment through
the Computerized Processing of Ultrasound Images: Attenuation versus First
Order Texture Parameters, IFMBE Proceedings, vol. 36. Springer Berlin Heidelberg, 2011, p. 184–189.
·
D. Mitrea, S. Nedevschi, M. Socaciu, and R. Badea, The Role of the Feature
Extraction Methods in Improving the Textural Model of the Hepatocellular
Carcinoma, Based on Ultrasound Images, Digital Information Processing and
Communications, vol. 188, Springer
Berlin Heidelberg, 2011, p. 496–509.
·
R. Danescu and S. Nedevschi, “New results in stereovision based lane
tracking”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany,
June 5-9, 2011, p. 230–235.
·
C. Golban and S. Nedevschi, “Linear vs. non linear minimization in stereo
visual odometry”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany,
June 5-9, 2011, p. 888–894.
·
F. Oniga and S. Nedevschi, “Curb detection for driving assistance systems: A
cubic spline-based approach”, in 2011 IEEE Intelligent Vehicles Symposium
(IV), Baden-Baden,
Germany, June 5-9, 2011, p. 945–950.
·
O. Aycard, Q. Baig, S.
Bota, F. Nashashibi, S. Nedevschi, C. Pantilie, M. Parent,
P. Resende, and T. D. Vu, “Intersection safety using lidar and stereo vision
sensors”, in 2011 IEEE Intelligent Vehicles Symposium (IV), Baden-Baden, Germany,
June 5-9, 2011, p. 863–869.
·
V. Popescu, M. Bace, and S. Nedevschi, “Lane identification and ego-vehicle accurate
global positioning in intersections”, in 2011 IEEE Intelligent Vehicles
Symposium (IV), Baden-Baden,
Germany, June 5-9, 2011, p. 870–875.
·
C. D. Pantilie and S. Nedevschi, “Real-time semi-global matching using
segmentation and plane fitting for improved accuracy on the GPU”, in 2011 IEEE
14th International Conference on Intelligent Transportation Systems (ITSC),
Washington DC, USA,
October 5-7, 2011, p. 784–790.
·
I. Szakats, C. Golban,
and S.
Nedevschi, “Fast vision based
ego-motion estimation from stereo sequences - A GPU approach”, in 2011 IEEE
14th International Conference on Intelligent Transportation Systems (ITSC),
Washington DC, USA,
October 5-7, 2011, p. 538–543.
·
M. Drulea and S. Nedevschi, “Total variation regularization of local-global
optical flow”, in 2011 IEEE 14th International Conference on Intelligent
Transportation Systems (ITSC), Washington DC, USA, October 5-7, 2011, p. 318–323.
·
S. Bota and S. Nedevschi, “Tracking multiple objects in urban traffic
environments using dense stereo and optical flow”, in 2011 IEEE 14th International
Conference on Intelligent Transportation Systems (ITSC), Washington DC, USA,
October 5-7, 2011, p. 791–796.
·
A. Ciurte, N. Houhou, S. Nedevschi, A. Pica, F. L. Munier, J. - P. Thiran, X.
Bresson, and M. Bach Cuadra, “An efficient segmentation method for ultrasound
images based on a semi-supervised approach and patch-based features”, in 2011
IEEE International Symposium on Biomedical Imaging: From Nano to Macro,
2011, p. 969–972.
·
T. Marita, M. Negru, R.
Danescu, and S.
Nedevschi, “Stop-line detection
and localization method for intersection scenarios”, in 2011 IEEE 7th
International Conference on Intelligent Computer Communication and Processing,
2011, p. 293–298.
·
M. Negru and S. Nedevschi, “Improving image quality by camera signal
adaptation to lighting conditions”, in 2011 IEEE 7th International
Conference on Intelligent Computer Communication and Processing, 2011, p.
273–279.
·
S. Bota and S. Nedevschi, “Vision based obstacle tracking in urban traffic
environments”, in 2011 IEEE 7th International Conference on Intelligent
Computer Communication and Processing, 2011, p. 231–238.
·
R. Brehar and S. Nedevschi, “A comparative study of pedestrian detection
methods using classical Haar and HoG features versus bag of words model
computed from Haar and HoG features”, in 2011 IEEE 7th International
Conference on Intelligent Computer Communication and Processing, 2011, p.
299–306.
·
R. Brehar, C. Fortuna, S.
Bota, D. Mladenic, and S. Nedevschi, “Spatio-temporal
reasoning for traffic scene understanding”, in 2011 IEEE 7th International
Conference on Intelligent Computer Communication and Processing, 2011, p.
377–384.
·
A. Vatavu, R. Danescu,
and S.
Nedevschi, “Environment perception
using dynamic polylines and particle based occupancy grids”, in 2011 IEEE
7th International Conference on Intelligent Computer Communication and
Processing, 2011, p. 239–244.
·
S. Nedevschi, I. R. Peter, and A.
Mandrut, “Performance prediction using Kernel Canonical Correlation Analysis”,
in 2011 IEEE 7th International Conference on Intelligent Computer
Communication and Processing, 2011, p. 157–162.
·
D. Mitrea, S. Nedevschi, and R. Badea, “The role of the superior order
GLCM and of the generalized cooccurrence matrices in the characterization and
automatic diagnosis of the hepatocellular carcinoma, based on ultrasound
images”, in 2011 IEEE 7th International Conference on Intelligent Computer
Communication and Processing, 2011, p. 197–204.
·
F. Oniga, M. Miron, R.
Danescu, and S.
Nedevschi, “Automatic recognition
of low earth orbit objects from image sequences”, in 2011 IEEE 7th
International Conference on Intelligent Computer Communication and Processing,
2011, p. 335–338.
·
N. Tomasev, R. Brehar, D.
Mladenic, and S.
Nedevschi, “The influence of hubness
on nearest-neighbor methods in object recognition”, in 2011 IEEE 7th
International Conference on Intelligent Computer Communication and Processing,
2011, p. 367–374.
·
I. Toma, M. Chezan, R.
Brehar, S.
Nedevschi, and D. Fensel, “SIM, a
Semantic Instrumentation and Monitoring solution for large scale reasoning
systems”, in 2011 IEEE 7th International Conference on Intelligent Computer
Communication and Processing, 2011, p. 151–156.
·
C. Vicas, M. Lupsor, M.
Socaciu, R. Badea, and S. Nedevschi, “Texture analysis as a
noninvasive tool for fibrosis assessment in chronic hepatitis C. influence of
expert dependent variability over the performance of texture analysis”, in 2011
IEEE 7th International Conference on Intelligent Computer Communication and
Processing, 2011, p. 205–212.
·
A. D. Costea, R. Varga,
T. Marita, and S.
Nedevschi, “Refining object
recognition using scene specific object appearance frequencies”, in 2011
IEEE 7th International Conference on Intelligent Computer Communication and
Processing, 2011, p. 179–185.
·
R. Brehar, I. Giosan, A.
Vatavu, M. Negru, and S. Nedevschi, “Modeling the behavior
of large scale reasoning systems using clustering and regression”, in 2011
IEEE 7th International Conference on Intelligent Computer Communication and
Processing, 2011, p. 163–169.
·
V. Popescu, M. Bace, and S. Nedevschi, “Probabilistic Approach for Automated Reasoning
for Lane Identification in Intelligent Vehicles”, in 2011 13th International
Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2011,
p. 255–258.
·
D. Mitrea, S. Nedevschi, and R. Badea, “The role of the superior order
GLCM in improving the automatic diagnosis of the hepatocellular carcinoma based
on ultrasound images”, in 2011 34th International Conference on
Telecommunications and Signal Processing (TSP), 2011, p. 602–606.
·
C. D. Pantilie, I.
Haller, M. Drulea, and S. Nedevschi, “Real-Time Image
Rectification and Stereo Reconstruction System on the GPU”, in 2011 10th
International Symposium on Parallel and Distributed Computing, 2011, p.
79–85.
·
C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Detection and Staging
of Liver Fibrosis using Additive Logistic Models”, in Artificial
Intelligence and Applications / 718: Modelling, Identification, and Control,
2011, p. 717-020.
·
I. Toma, M. Chezan, R.
Brehar, S.
Nedevschi, and D. Fensel, “SIM, a
Semantic Instrumentation and Monitoring Solution for Large Scale Reasoning
Systems”, in Proceedings of the 5th IEEE International Conference on
Semantic Computing (ICSC 2011), Palo Alto, CA, USA, September 18-21, 2011,
2011, p. 118–124.
·
A. Ciurte, S. Nedevschi, and I. Rasa, “A Generalization of the EMML and
ISRA Algorithms for Solving Linear Systems”, Journal of Computational
Analysis and Applications, vol. 12, no. 4, p. 799-816, 2010.
·
F. Oniga and S. Nedevschi, “Processing Dense Stereo Data Using Elevation
Maps: Road Surface, Traffic Isle, and Obstacle Detection”, IEEE Transactions
on Vehicular Technology, vol. 59, no. 3, p. 1172–1182, Mar. 2010.
·
S. Nedevschi, T. Marita, R. Danescu,
F. Oniga, S. Bota, I. Haller, C. Pantilie, M. Drulea, and C. Golban, On-Board
6D Visual Sensor for Intersection Driving Assistance, in Advanced Microsystems for
Automotive Applications 2010: Smart Systems for Green Cars and Safe Mobility, editors G. Meyer, J.
Valldorf, W. Gessner, Heidelberg, Springer
Berlin Heidelberg, 2010, p. 253–264.
·
I. Haller, C. Pantilie,
F. Oniga, and S.
Nedevschi, “Real-time semi-global
dense stereo solution with improved sub-pixel accuracy”, in 2010 IEEE
Intelligent Vehicles Symposium (IV), University of California, San Diego, CA, USA,
June 20-24, 2010, p. 369–376.
·
R. Danescu, F. Oniga, and
S.
Nedevschi, “Particle grid tracking
system for stereovision based environment perception”, in 2010 IEEE
Intelligent Vehicles Symposium (IV), University of California, San Diego, CA, USA, June
20-24, 2010, p. 987–992.
·
I. Haller, C. Pantilie,
T. Marita, and S.
Nedevschi, “Statistical method for
sub-pixel interpolation function estimation”, in 13th International IEEE Conference
on Intelligent Transportation Systems (ITSC), Funchal, Madeira Island, Portugal, October
2010, p. 1098–1103.
·
F. Oniga and S. Nedevschi, “Polynomial curb detection based on dense
stereovision for driving assistance”, in 13th International IEEE Conference
on Intelligent Transportation Systems (ITSC), Funchal, Madeira Island, Portugal, October
2010, p. 1110–1115.
·
R. Danescu and S. Nedevschi, “Detection and classification of painted road
objects for intersection assistance applications”, in 13th International
IEEE Conference on Intelligent Transportation Systems (ITSC), Funchal, Madeira Island,
Portugal, October 2010, p. 433–438.
·
C. D. Pantilie and S. Nedevschi, “Real-time obstacle detection in complex
scenarios using dense stereo vision and optical flow”, in 13th International
IEEE Conference on Intelligent Transportation Systems (ITSC), Funchal, Madeira Island,
Portugal, October 2010, p. 439–444.
·
D. Pojar, P. Jeong, and S. Nedevschi, “Improving localization accuracy based on
Lightweight Visual Odometry”, in 13th International IEEE Conference on
Intelligent Transportation Systems (ITSC), Funchal, Madeira Island, Portugal, October
2010, p. 641–646.
·
P. Jeong and S. Nedevschi, “Reliable Localization and Map Building based on
Visual Odometry and Ego Motion Model in Dynamic Environment”, in Proceedings
of the Fifth International Conference on Computer Vision Theory and
Applications, Angers, France, May 17-21, 2010 - Volume 1, 2010, p. 316–321.
·
S. Nedevschi, I. R. Peter, I. A.
Dobos, and C. Prodan, “An improved PCA type algorithm applied in face
recognition”, in Proceedings of the 2010 IEEE 6th International Conference
on Intelligent Computer Communication and Processing, 2010, p. 259-262.
·
S. Nedevschi, V. Popescu, T. Marita,
R. Danescu, M. - M. Meinecke, M. - A. Obojski, and J. Knaup, “Intersection
representation enhancement by sensorial data and digital map alignment”, in Proceedings
of the 2010 IEEE 6th International Conference on Intelligent Computer
Communication and Processing, 2010, p.393-400.
·
C. Vicas and S. Nedevschi, “Performance evaluation of the textural analysis
algorithms in liver fibrosis detection using ultrasound software phantoms”, in Proceedings
of the 2010 IEEE 6th International Conference on Intelligent Computer
Communication and Processing, 2010, p. 155-162.
·
I. Haller and S. Nedevschi, “GPU optimization of the SGM stereo algorithm”,
in Proceedings of the 2010 IEEE 6th International Conference on Intelligent
Computer Communication and Processing, 2010, p. 197-202.
·
G. Lisca, P. Jeong, and S. Nedevschi, “Automatic one step extrinsic calibration of a
multi layer laser scanner relative to a stereo camera”, in Proceedings of
the 2010 IEEE 6th International Conference on Intelligent Computer
Communication and Processing, 2010, p. 223-230.
·
A. Vatavu, S. Nedevschi, and F. Oniga, “Real-time environment
representation based on Occupancy Grid temporal analysis using a Dense
Stereo-Vision System”, in Proceedings of the 2010 IEEE 6th International
Conference on Intelligent Computer Communication and Processing, 2010, p.
203-210.
·
F. Oniga, R. Danescu, and
S.
Nedevschi, “Mixed road surface
model for driving assistance systems”, in Proceedings of the 2010 IEEE 6th
International Conference on Intelligent Computer Communication and Processing,
2010, p. 185-190.
·
M. Drulea, I. R. Peter,
and S.
Nedevschi, “Optical flow A
combined local-global approach using L1 norm”, in Proceedings of the 2010
IEEE 6th International Conference on Intelligent Computer Communication and
Processing, 2010, p. 217-222.
·
C. Golban, I. Golban, and
S.
Nedevschi, “Vision based
three-dimensional vehicle motion detection by minimizing nonlinear functions”,
in Proceedings of the 2010 IEEE 6th International Conference on Intelligent
Computer Communication and Processing, 2010, p. 239-242.
·
R. Brehar, S. Nedevschi, and L. Daian, “Pillars detection for side viewed
vehicles”, in Proceedings of the 2010 IEEE 6th International Conference on
Intelligent Computer Communication and Processing, 2010, p. 247-250.
·
D. Pojar, P. Jeong, and S. Nedevschi, “Localization in urban traffic environment for
mobile robots based on stereo real-time Lightweight Visual Odometry”, in Proceedings
of the 2010 IEEE 6th International Conference on Intelligent Computer
Communication and Processing, 2010, p. 231-238.
·
C. D. Pantilie, S. Bota,
I. Haller, and S.
Nedevschi, “Real-time obstacle
detection using dense stereo vision and dense optical flow”, in Proceedings
of the 2010 IEEE 6th International Conference on Intelligent Computer
Communication and Processing, 2010, p. 191-196.
·
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea,
“Experimenting various classification techniques for improving the automatic
diagnosis of the malignant liver tumors, based on ultrasound images”, in 2010
3rd International Congress on Image and Signal Processing, 2010, p.
1853–1858.
·
C. Radu, M. Grigorescu,
M. Lupsor, C. Vicas, S. Nedevschi, R. Badea, M. D.
Grigorescu, Z. Sparchez, D. Crisan, and D. Feier, “The diagnostic performance
of attenuation coefficient computed on the ultrasound image compared to a
biochemical marker — SteatoTest — for steatosis quantification in non-alcoholic
fatty liver disease”, in 2010 IEEE International Conference on Automation,
Quality and Testing, Robotics (AQTR), 2010, p. 1–5.
·
M. Lupsor, R. Badea, C.
Vicas, S. Nedevschi, M. Grigorescu, C. Radu, H. Stefanescu, and
D. Crisan, “Non-invasive steatosis assessment in NASH through the computerized
processing of ultrasound images: Attenuation versus textural parameters”, in 2010
IEEE International Conference on Automation, Quality and Testing, Robotics
(AQTR), 2010, p. 333-338.
·
C. Vicas, M. Lupsor, R.
Badea, and S.
Nedevschi, “Detection of
anatomical structures on ultrasound liver images using Gabor filters”, in 2010
IEEE International Conference on Automation, Quality and Testing, Robotics
(AQTR), 2010, p. 249-253.
·
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea, “Advanced
classification methods for improving the automatic diagnosis of the
hepatocellular carcinoma, based on ultrasound images”, in 2010 IEEE
International Conference on Automation, Quality and Testing, Robotics
(AQTR), 2010, p. 265-271.
·
S. Nedevschi, S. Bota, and C. Tomiuc,
“Stereo-Based Pedestrian Detection for Collision-Avoidance Applications”, IEEE
Transactions on Intelligent Transportation Systems, vol. 10, no. 3, p.
380–391, Sep. 2009.
·
R. Danescu and S. Nedevschi, “Probabilistic Lane Tracking in Difficult Road
Scenarios Using Stereovision”, IEEE Transactions on Intelligent
Transportation Systems, vol. 10, no. 2, p. 272–282, Jun. 2009.
·
S. Nedevschi, C. Golban, and C.
Mitran, “Improving accuracy for Ego vehicle motion estimation using epipolar
geometry”, in 2009 12th International IEEE Conference on Intelligent
Transportation Systems, St. Louis,
USA, October 3-7, 2009, pp. 596-602.
·
R. Danescu, F. Oniga, S. Nedevschi, and M. M. Meinecke, “Tracking multiple objects
using particle filters and digital elevation maps”, in 2009 IEEE Intelligent
Vehicles Symposium (IV), Xi’An,
China, June 3-5, 2009, p. 88–93.
·
S. Nedevschi, R. Danescu, T. Marita,
F. Oniga, C. Pocol, S. Bota, M. M. Meinecke, and M. A. Obojski,
Stereovision-Based Sensor for Intersection Assistance, in Advanced Microsystems for
Automotive Applications 2009: Smart Systems for Safety, Sustainability and
Comfort,
editors G. Meyer, J. Valldorf, W. Gessner, Springer Berlin Heidelberg, 2009, p. 129–163.
·
A. Vatavu, S. Nedevschi, and F. Oniga, “Real Time Object Delimiters
Extraction for Environment Representation in Driving Scenarios”, , Proceedings
of the 2009 6th International Conference on Informatics in Control (ICINCO),
Automation and Robotics, Volume Robotics and Automation, Milan, Italy, July
2-5, 2009, 2009, p. 86–93.
·
F. Oniga, S. Nedevschi, M. M. Meinecke, “Temporal Integration of Occupancy
Grids Detected from Dense Stereo Using an Elevation Map Representation”, in Proceedings
of the 6th International Workshop on Intelligent Transportation (WIT 2009),
Hamburg, Germany, March 24-25, 2009, pp. 133-138.
·
S. Nedevschi, T. Marita, R. Danescu,
F. Oniga, and S. Bota, “On-board Stereo Sensor for Intersection Driving
Assistance. Architecture and Specification”, in 2009 IEEE 5-th International
Conference on Intelligent Computer Communication and Processing,
Cluj-Napoca, Romania, 2009, p. 409-416.
·
A. Ciurte and S. Nedevschi, “Texture analysis within contrast enhanced
abdominal CT images”, in 2009 IEEE 5th International Conference on
Intelligent Computer Communication and Processing, 2009, p. 73–78.
·
R. Danescu, D. Lebu, F.
Oniga, S.
Nedevschi, and M. - M. Meinecke,
“A flexible solution for detection and tracking of multiple objects”, in 2009
IEEE 5th International Conference on Intelligent Computer Communication and
Processing, 2009, p. 165–168.
·
S. Bota, S. Nedevschi, and M. Konig, “A framework for object detection,
tracking and classification in urban traffic scenarios using stereovision”, in 2009
IEEE 5th International Conference on Intelligent Computer Communication and
Processing, 2009, p. 153–156.
·
D. Pojar, P. Jeong, and S. Nedevschi, “Real-time slam based on Hybrid Odometry and
LDPDs (Local differential Probability Distances)”, in 2009 IEEE 5th
International Conference on Intelligent Computer Communication and Processing,
2009, p. 119–126.
·
R. Borca-Muresan and S. Nedevschi, “Correlation between features and classifiers for
semantic understanding of pedestrian attitudes in traffic scenes”, in 2009
IEEE 5th International Conference on Intelligent Computer Communication and
Processing, 2009, p. 149–152.
·
I. Giosan, S. Nedevschi, and S. Bota, “Real time stereo vision based
pedestrian detection using full body contours”, in 2009 IEEE 5th
International Conference on Intelligent Computer Communication and Processing,
2009, p. 79–86.
·
C. Golban, C. Mitran, and
S.
Nedevschi, “A practical method for
ego vehicle motion estimation from video”, in 2009 IEEE 5th International
Conference on Intelligent Computer Communication and Processing, 2009, p.
87–94.
·
M. Negru and S. Nedevschi, “Camera response estimation. Radiometric
calibration”, in 2009 IEEE 5th International Conference on Intelligent
Computer Communication and Processing, 2009, p. 103–109.
·
C. Vicas, S. Nedevschi, M. Lupsor, and R. Badea, “Automatic detection of
liver capsule using Gabor Filters. Applications in steatosis quantification”,
in 2009 IEEE 5th International Conference on Intelligent Computer
Communication and Processing, 2009, p. 133–140.
·
F. Oniga, S. Nedevschi, R. Danescu, and M. M. Meinecke, “Global map
building based on occupancy grids detected from dense stereo in urban
environments”, in 2009 IEEE 5th International Conference on Intelligent
Computer Communication and Processing, 2009, p. 111–117.
·
T. Marita, “Barriers
detection method for stereovision-based ACC systems”, in 2009 IEEE 5th
International Conference on Intelligent Computer Communication and Processing,
2009, p. 95–101.
·
I. Giosan and S. Nedevschi, Building Pedestrian Contour Hierarchies for
Improving Detection in Traffic Scenes, Computer Vision and Graphics,
vol. 5337. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, p. 154–163.
·
R. Borca-Mureşan, S. Nedevschi, and F. Măguran, Mixtures of Classifiers for
Recognizing Standing and Running Pedestrians, Computer Vision and Graphics,
vol. 5337. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, p. 345–355.
·
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea,
Classification of the Hepatocellular Carcinoma in Ultrasound Images Based on
the Imagistic Textural Model of This Tumor, Proceedings of IFMBE, vol.
26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, p. 267–272.
·
D. Mitrea, S. Nedevschi, M. Lupsor, M. Socaciu, and R. Badea, “Improving
the Textural Model of the Hepatocellular Carcinoma Using Dimensionality
Reduction Methods”, in 2009 2nd International Congress on Image and Signal
Processing, 2009, p. 1–5.
·
D. Mitrea, S. Nedevschi, and D. Gorgan, “Emotional State Evaluation Based
On The Human Body Position, Through Computer-Vision
Methods”, Romanian Journal of Human-Computer Interaction, vol. 2, no.
RoCHI 2009, p. 73-76, 2009.
·
C. Tomiuc, S. Nedevschi, “Real-time pedestrian classification exploiting
2D and 3D information”, IET Intelligent Transportation Systems Journal,
2008, Vol.2, no. 3, pp 201-210.
·
S. Bota, S. Nedevschi, “Multi-Feature Walking Pedestrians Detection for
Driving Assistance Systems”, IET Intelligent Transportation Systems Journal, 2008, Vol. 2, no. 2, pp. 92-104.
·
R. Danescu, S. Nedevschi, M. - M. Meinecke, and T. - B. To, “A
stereovision-based probabilistic lane tracker for difficult road scenarios”, in
2008 IEEE Intelligent Vehicles Symposium (IV), Eindhoven, The Netherlands, June 4-6, 2008, p. 536–541.
·
Pangyu Jeong and S. Nedevschi, “Obstacle detection based on the hybrid road
plane under the weak calibration conditions”, in 2008 IEEE Intelligent
Vehicles Symposium (IV), Eindhoven,
The Netherlands, June 4-6, 2008, p. 446–451.
·
F. Oniga, S. Nedevschi, and M. M. Meinecke, “Curb Detection Based on a
Multi-Frame Persistence Map for Urban Driving Scenarios”, in 2008 11th
International IEEE Conference on Intelligent Transportation Systems (ITSC),
Beijing, China, October 12-15, 2008, p. 67–72.
·
S. Nedevschi, R. Danescu, C. Pocol,
M. M. Meinecke, “Stereo Image Processing for ADAS and Pre-Crash Systems”, in Proceedings
of the 5th International Workshop on Intelligent Transportation (WIT 2008),
Hamburg, Germany, March, 2008, pp. 55-60.
·
C. Pocol, S. Nedevschi, M.M. Meinecke, “Obstacle Detection Based on Dense
Stereovision for Urban ACC Systems”, in Proceedings of the 5th International
Workshop on Intelligent Transportation (WIT 2008), Hamburg, Germany, March,
2008, pp 13-18.
·
S. Nedevschi, A. Vatavu, F. Oniga,
“Forward Collision Detection based on Elevation Map from Dense Stereo”, in Proceedings
of the IROS 2008 2nd Workshop on Planning, Perception and Navigation for
Intelligent Vehicles, Nice, France, pp 76-81.
·
T. T. Binh, M. M.
Meinecke, F. Schroven, S. Nedevschi, J. C. Knaup, “CityACC – On the way towards an intelligent
autonomous driving”, The 17th World Congress of The International Federation
of Automatic Control, Seoul, Korea, 2008,
pp 9534-9539
·
S. Nedevschi, A. Vatavu, F. Oniga,
and M. M. Meinecke, “Forward collision detection using a Stereo Vision System”,
in 2008 IEEE 4th International Conference on Intelligent Computer
Communication and Processing, 2008, p. 115–122.
·
S. Nedevschi, A. Ciurte, and G. Mile,
“Kidney CT image segmentation using multi-feature EM algorithm, based on Gabor
filters”, in 2008 IEEE 4th International Conference on Intelligent Computer
Communication and Processing, 2008, p. 283–286.
·
R. Danescu and S. Nedevschi, “Adaptive and robust road tracking system based
on stereovision and particle filtering”, in 2008 IEEE 4th International
Conference on Intelligent Computer Communication and Processing, 2008, p.
67–73.
·
G. Catalin and S. Nedevschi, “Object tracking from stereo sequences using
particle filter”, in 2008 IEEE 4th International Conference on Intelligent
Computer Communication and Processing, 2008, p. 279–282.
·
S. Bota and S. Nedevschi, “Camera motion estimation using monocular and
stereo-vision”, in 2008 IEEE 4th International Conference on Intelligent
Computer Communication and Processing, 2008, p. 275–278.
·
F. Oniga, S. Nedevschi, and M. M. Meinecke, “Curb segments detection with
temporal filtering for urban driving scenarios”, in 2008 IEEE 4th
International Conference on Intelligent Computer Communication and Processing,
2008, p. 291–294.
·
R. Borca-Muresan and S. Nedevschi, “Meta-classifier for pedestrian attitude
recognition”, in 2008 IEEE 4th International Conference on Intelligent
Computer Communication and Processing, 2008, p. 33–40.
·
D. Mitrea, S. Nedevschi, B. Petrut, and I. Coman, “The imagistic textural
model of the prostatic adenocarcinoma”, in 2008 IEEE 4th International
Conference on Intelligent Computer Communication and Processing, 2008, p.
107–114.
·
S. Nedevschi, C. Pantilie, T. Marita,
and S. Dudea, “Statistical methods for automatic segmentation of elastographic
images”, in 2008 IEEE 4th International Conference on Intelligent Computer
Communication and Processing, 2008, p. 287–290.
·
R. Borca-Muresan and S. Nedevschi, “Meta-classifier for pedestrian attitude
recognition”, in 2008
IEEE 4th International Conference on Intelligent Computer Communication and
Processing, 2008. ICCP 2008., 2008, p. 33-40.
·
M. Lupsor, C. Vicas, S. Nedevschi, M. Grigorescu, H. Stefănescu, Z. Sparchez,
A. Serban, H. Branda, M. Florea, and R. Badea, “Steatohepatitis detection from
ultrasound images using attenuation and backscattering coefficients”, Ultraschall
in der Medizin, European Journal of Ultrasound, vol. 29, no. S 1, p. s-2008-1079763,
2008.
·
D. Mitrea, S. Nedevschi, M. Lupsor, and R. Badea, “Exploring the textural
parameters obtained from ultrasound images for modeling the liver pathological
stages in the evolution towards hepatocellular carcinoma”, in 2008 IEEE International
Conference on Automation, Quality and Testing, Robotics (AQTR), 2008, p.
128–133.
·
M. Grigorescu, C. Radu,
M. Lupsor, C. Vicas, S. Nedevschi, R. Badea, Z. Sparchez,
D. Crisan, and A. Serban, “Comparison between attenuation coefficient computed
on the ultrasound image and a biological marker, adiponectin, in the diagnosis
of steatosis in non-alcoholic fatty liver disease”, in 2008 IEEE
International Conference on Automation, Quality and Testing, Robotics (AQTR),
2008, p. 118–122.
·
A. Ciurea, D. Dumitriu,
C. Ciortea, S.
Nedevschi, S. Bolboaca, and S.
Dudea, “Benign versus malignant nodular breast lesion by using
elastosonography: preliminary report”, Ultraschall in der Medizin - European
Journal of Ultrasound, vol. 29, no. S 1, p. s-2008-1079808, 2008.
·
O. Dancea, M. Gordan, M.
Dragan, I. Stoian, and S. Nedevschi, “Postoperatory risk
classification of prostate cancer patients using support vector machines”, in 2008
IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR),
2008, p. 53–56.
·
M. Lupsor, R. Badea, C.
Vicas, S.
Nedevschi, M. Grigorescu, H.
Stefanescu, Z. Sparchez, C. Radu, D. Crisan, A. Serban, and H. Branda,
“Diagnosis value of the attenuation coefficient computed from ultrasound image
for predicting the presence and severity of nonalcoholic steatohepatitis”, Ultraschall
in der Medizin - European Journal of Ultrasound, vol. 29, no. S 1, p.
s-2008-1079771, 2008.
·
M. Lupsor, R. Badea, C.
Vicas, S.
Nedevschi, M. Grigorescu, H.
Stefanescu, C. Radu, D. Crisan, Z. Sparchez, A. Serban, and H. Branda,
“Ultrasonographic diagnosis of nonalcoholic steatohepatitis based on the
quantitative evaluation of the ultrasound beam behavior into the liver”, in 2008
IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR),
2008, p. 112–117.
·
H. Stefanescu, R. Badea,
M. Lupsor, D. Capatana, R. Cazan, O. Dancea, T. Marita, D. Mitrea, S. Nedevschi, L. Neamţu, and V. Popiţa, “Validaton of
an ultrasound-based tele-screening network for hepatocellular carcinoma”, Ultraschall
in der Medizin - European Journal of Ultrasound, vol. 29, no. S 1, p.
s-2008-1079761, 2008.
·
S. Nedevschi, R. Danescu, T. Marita,
F. Oniga, C. Pocol, S. Bota, and C. Vance, A Sensor for Urban Driving
Assistance Systems Based on Dense Stereovision. InTech, 2008.
·
S. Nedevschi, C. Vancea, T. Marita,
and T. Graf, “Online Extrinsic Parameters Calibration for Stereovision Systems
Used in Far-Range Detection Vehicle Applications”, IEEE Transactions on
Intelligent Transportation Systems, vol. 8, no. 4, p. 651–660, Dec. 2007.
·
S. Nedevschi, R. Danescu, T. Marita,
F. Oniga, C. Pocol, S. Sobol, C. Tomiuc, C. Vancea, M. M. Meinecke, T. Graf, T.
B. To, and M. A. Obojski, “A sensor for urban driving assistance systems based
on dense stereovision”, in Proceedings of 2007 IEEE Intelligent Vehicles
Symposium (IV), Istanbul, June, 2007, p. 276–283.
·
F. Oniga, S. Nedevschi, M. M. Meinecke, and T. B. To, “Road surface and
obstacle detection based on elevation maps from dense stereo”, in Proceedings
of 2007 IEEE Conference on Intelligent Transportation Systems (ITSC),
Seattle, WA, 2007, p. 859–865.
·
R. Danescu, S. Nedevschi, M. M. Meinecke, and T. B. To, “Lane geometry
estimation in urban environments using a stereovision system”, in Proceedings
of 2007 IEEE Conference on Intelligent Transportation Systems, ITSC,
Seattle, WA, 2007, p. 271–276.
·
R. Danescu, S. Nedevschi, M. M. Meinecke, and T. Graf, “Stereovision based
vehicle tracking in urban traffic environments”, in Proceedings of 2007 IEEE
Conference on Intelligent Transportation Systems (ITSC), Seattle, WA, 2007,
p. 400–404.
·
S. Nedevschi, C. Tomiuc, S. Bota,
“Stereo Based Pedestrian Detection for Collision Avoidance Applications”, Proceedings
of ICRA 2007 Workshop: Planning, Perception and Navigation for Intelligent
Vehicles, Roma, April, 2007, pp. 39-44.
·
S. Bota, S. Nedevschi, Multi-Feature Walking Pedestrian Detection Using
Dense Stereo Motion, WIT 2007, Hamburg, 20-21 March, 2007, pp. 113-118.
·
M. Lupsor, R. Badea, C.
Vicas, S.
Nedevschi, H. Stefanescu, S.
Tripon, T. Suteu, C. Radu, and M. Grigorescu, “Estimating the fibrosis stage in
chronic hepatits C patients using image processing methods on ultrasonographic
images – preliminary results”, Ultraschall in der Medizin, European Journal
of Ultrasound, vol. 28, no. S 1, p. s-2007-988887, 2007.
·
M. Lupsor, D. Mitrea, S. Nedevschi, and R. Badea, “Representation and modelling of
cirrhosis and hepatocarcinoma from ultrasound images using texture-based
methods”, Ultraschall in der Medizin, European Journal of Ultrasound,
vol. 28, no. S 1, p. s-2007-988854, 2007.
·
H. Stefanescu, R. Badea,
M. Lupsor, S. Tripon, O. Dancea, D. Capatana, I. Stoian, D. Mitrea, M. Tiberiu,
S.
Nedevschi, L. Neamtiu, and V.
Popita, “Telemedicine network for ultrasound screening of HCC”, Ultraschall
in der Medizin, European Journal of Ultrasound, vol. 28, no. S 1, p.
s-2007-989092, 2007.
·
C. Pocol, S. Nedevschi, and M. A. Obojski, “Obstacle detection for mobile
robots, using dense stereo reconstruction”, in Proceedings of 2007 IEEE 3rd
International Conference on Intelligent Computer Communication and Processing,
Cluj-Napoca, 2007, p. 127–132.
·
R. Danescu, S. Nedevschi, and T. - B. To, “A stereovision-based lane
detector for marked and non-marked urban roads”, in Proceedings of 2007 IEEE
3rd International Conference on Intelligent Computer Communication and
Processing, Cluj-Napoca, 2007, p. 81–88.
·
F. Oniga, S. Nedevschi, and M. M. Meinecke, “Curb detection based on
elevation maps from dense stereo”, in Proceedings of 2007 IEEE 3rd
International Conference on Intelligent Computer Communication and Processing,
Cluj-Napoca, 2007, p. 119–125.
·
C. Tomiuc, S. Nedevschi, and M. M. Meinecke, “Pedestrian detection and
classification based on 2D and 3D information for driving assistance systems”,
in Proceedings of 2007 IEEE 3rd International Conference on Intelligent
Computer Communication and Processing, Cluj-Napoca, 2007, p. 133–139.
·
C. Vancea and S. Nedevschi, “LUT-based image rectification module implemented
in FPGA”, in Proceedings of 2007 IEEE 3rd International Conference on
Intelligent Computer Communication and Processing, Cluj-Napoca, 2007, p.
147–154.
·
D. Mitrea, S. Nedevschi, C. Cenan, M. Lupsor, and R. Badea, “Exploring
texture-based parameters, noninvasive characterization and modeling of diffuse liver
diseases and liver cancer from ultrasound images”, WSEAS Transactions on
Computers, vol. 6, no. 2, p. 283–290, 2007.
·
T. Marita, F. Oniga, S. Nedevschi, and T. Graf, “Calibration accuracy assessment
methods for stereovision sensors used in vehicles”, in Proceedings of 2007
IEEE 3rd International Conference on Intelligent Computer Communication and
Processing, Cluj-Napoca, 2007, p. 111–118.
·
P. Jeong and S. Nedevschi, “Local Difference Probability (LDP)-Based
Environment Adaptive Algorithm for Unmanned Ground Vehicle”, IEEE
Transactions on Intelligent Transportation Systems, vol. 7, no. 3, p.
282–292, Sep. 2006.
·
S. Nedevschi, F. Oniga, R. Danescu,
T. Graf, and R. Schmidt, “Increased accuracy stereo approach for 3D lane
detection”, in Proceedings of 2006 IEEE Intelligent Vehicles Symposium (IV),
Tokyo, 2006, p. 42–49.
·
T. Marita, F. Oniga, S. Nedevschi, T. Graf, and R. Schmidt, “Camera calibration
method for far range stereovision sensors used in vehicles”, in Proceedings
of 2006 IEEE Intelligent Vehicles Symposium (IV), Tokyo, 2006, p. 356–363.
·
S. Nedevschi, C. Vancea, T. Marita,
and T. Graf, “On-line calibration method for stereovision systems used in
vehicle applications”, in Proceedings of 2006 IEEE Intelligent
Transportation Systems Conference (ITSC), Toronto, Canada, 17-20
September,2006, p. 957–962.
·
R. Danescu, S. Sobol, S. Nedevschi, and T. Graf, “Stereovision-based side lane and
guardrail detection”, in Proceedings of 2006 IEEE Intelligent Transportation
Systems Conference (ITSC), Toronto, Canada, 17-20 September, 2006, p.
1156–1161.
·
S. Nedevschi, S. Bota, T. Marita, F.
Oniga, and C. Pocol, “Real-Time 3D Environment Reconstruction Using High
Precision Trinocular Stereovision”, in Proceedings of 2006 IEEE
International Conference on Automation, Quality&Testing, Robotics
(AQTR), Cluj-Napoca, Romania, 2006, p. 333 - 338.
·
R. Badea, M. Lupşor,
H. Ştefǎnescu, S. Nedevschi, D. Mitrea, A. Şerban, and T. Vasile,
“Ultrasonography contribution to the detection and characterization of hepatic
restructuring: Is the "virtual biopsy" taken into consideration?”, Journal
of Gastrointestinal and Liver Diseases, vol. 15, no. 2, p. 189–194, 2006.
·
P. Jeong and S. Nedevschi, “Robust classification based on prior of local
difference probability for the unmanned ground vehicles”, in Proceedings of
the 1st International Conference on Computer Vision Theory and Applications
(VISAPP), Setubal, 2006, vol. 1, p. 445–450.
·
C. Vancea, S. Nedevschi, M. Negru, and S. Mathe, “Real-time FPGA-based
image rectification system”, in Proceedings of the 1st International
Conference on Computer Vision Theory and Applications (VISAPP), Setubal,
2006, vol. 1, p. 93–100.
·
Pangyu Jeong and S. Nedevschi, “Efficient and robust classification method using
combined feature vector for lane detection”, IEEE Transactions on Circuits
and Systems for Video Technology, vol. 15, no. 4, p. 528–537, Apr. 2005.
·
S. Nedevschi, R. Danescu, T. Marita,
F. Oniga, C. Pocol, S. Sobol, T. Graf, and R. Schmidt, “Driving environment
perception using stereovision”, in Proceedings of IEEE Intelligent Vehicles
Symposium (IV), Las Vegas, NV, 2005, vol. 2005, p. 331–336.
·
C. Homorodean, D. Olinic,
S.
Nedevschi, and N. Olinic,
“Templates implementation for structured DICOM diagnosis reporting in
echocardiography”, in Computers in Cardiology, Lyon, 2005, vol. 32, p.
379–382.
·
S. Nedevschi, R. Danescu, T. Marita, F. Oniga, C. Pocol, “Moving Camera
Rotation Estimation Using Horizon Line Features’ Motion Field”, in Proceedings
of 6-th International Carpathian Control Conference, 24-26 May 2005,
Lilafured-Miskolc, Hungary, pp. 449-454.
·
S. Nedevschi, T. Marita, R. Danescu,
F. Oniga, C. Pocol, “Camera Calibration method for high-accuracy stereovision”,
in Proceedings of the Joint-Hungarian-Austrian Conference on Image
Processing and Pattern Recognition, Vesprem, Hungary, 11-13 May 2005, pp.
303-310.
·
P. Jeong and S. Nedevschi, “Efficient Classification Method for Autonomous
Driving Application”, in Proceedings of Image Analysis and
Recognition: International Conference, ICIAR 2004, Porto, Portugal,
September 29-October 1, 2004, Part II, 2004, vol. 3212, p. 228–235.
·
S. Nedevschi, R. Schmidt, T. Graf, R.
Danescu, D. Frentiu, T. Marita, F. Oniga, and C. Pocol, “3D lane detection
system based on stereovision”, in Proceedings of 2004 IEEE Intelligent
Transportation Systems Conference (ITSC), 2004, p. 161-166.
·
S Nedevschi, F Rusu, I Popa, A Smeu,
D Olinic, C Homorodean, “Structured Reporting of Echocardiography Images in a
DICOM Environment”, Computers in Cardiology, Chicago September, 2004,
vol. 31, p. 685-688.
·
D. Olinic, C. Homorodean,
S.
Nedevschi, F. Rusu, A. Smeu, I.
Popa, A. Vancea, and N. Olinic, “A proposal for structured diagnosis reporting
in echocardiography, using a DICOM compliant environment”, in Computers in
Cardiology, Chicago, 2004, vol. 31, p. 601-604.
·
P. Jeong and S. Nedevschi, “Efficient classification method for autonomous
driving application”, Lecture Notes in Computer Science (including
subseries Lecture Notes in Artificial Intelligence and Lecture Notes in
Bioinformatics), vol. 3211, p. 228-235, 2004.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, C. Pocol, R. Schmidt, and T. Graf, “High accuracy stereo
vision system for far distance obstacle detection”, in Proceedings of 2004
IEEE Intelligent Vehicles Symposium(IV), 2004, p. 292-297.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, and C. Pocol, “Spatial grouping of 3D points from multiple
stereovision sensors”, in Proceeding of IEEE International Conference on
Networking, Sensing and Control, Taipei, 2004, vol. 2, p. 874–879.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, C. Pocol, R. Schmidt, and T. Graf, “Stereovision Approach
for Obstacle Detection on Non-Planar Roads”, in, Proceedings of the First
International Conference on Informatics in Control, Automation and Robotics,
ICINCO, Setúbal, Portugal, August 25-28, 2004, p. 11–18.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, C. Pocol, Thorsten Graf, Rolf Schmidt, “High Accuracy
Stereovision Approach for Obstacle Detection on Non-Planar Roads”, Proceedings
of 2004 IEEE Intelligent Engineering Systems (INES2004), Cluj Napoca,
Romania, 19-21 September, 2004, pp. 211-216.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, C. Pocol, “Extraction of Dynamic Traffic Description Using
Multiple Stereovision Equipped Vehicles”, Proceedings of Computing,
Communications and Control Technologies (CCCT'04), Austin, Texas, USA, 15-17 August,
2004, pp. 410-415.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, C. Pocol , “Dynamic traffic description using stereovision
equipped vehicles and ad-hoc wireless networking”, Proceedings of 2004
IEEE-TTTC International Conference on Automation, Quality Testing and Robotics (THETA
14), Cluj Napoca, Romania, May, 2004.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, C. Pocol, “3D Environment Reconstruction Using Multiple
Moving Stereovision Sensors”, MicroCAD International Scientific Conference,
Miskolc, Hungary, March 2004, pp. 93-98.
·
P. Jeong and S. Nedevschi, “Intelligent road detection based on local
averaging classifier in real-time environments”, in 12th International
Conference on Image Analysis and Processing (ICIAP 2003), 17-19 September
2003, Mantova, Italy, 2003, p. 245–249.
·
S. Nedevschi, D. Olinic, R. Popovici,
F. Rusu, A. Smeu, and C. Homorodean, “DICOM compliant environment for
structured reporting in echocardiography”, in Computers in Cardiology,
Thessaloniki Khalkidhiki, 2003, vol. 30, p. 29–32.
·
S. Nedevschi, R. Danescu, D. Frentiu,
T. Marita, F. Oniga, and C. Pocol, “Real-Time Extraction of 3D Dynamic
Environment Description Using Multiple Stereovision Sensors”, in Proceedings
of International Conference on Computer, Communication and Control Technologies,
CCCT'03, Orlando, Florida, USA, 2003, vol. 3, p. 520-524.
·
P. Jeong, S. Nedevschi, “Unsupervised Multi-classification for Lane
Detection using the Combination of Colour-Texture and Gray-Texture”, Proceedings
of International Conference on Computer, Communication and Control Technologies,
CCCT 2003, Orlando, Florida, 29 July – 1 August, 2003, Volume 1, pp.
216-221.
·
S. Nedevschi, T. Marita, R. Danescu,
F. Oniga, D. Frentiu, C. Pocol, “Camera Calibration Error Analysis in Stereo
Measurements”, Proceedings of MicroCAD 2003 International Scientific
Conference, Miskolc, 6-7 March 2003, pp. 51-57.
·
S. Nedevschi, T. Marita, M. Vaida, R.
Danescu, D. Frentiu, F. Oniga, C. Pocol, and D. Moga, “Camera Calibration
Method for Stereo Measurements”, Journal of Control Engineering and Applied Informatics,
vol. 4, no. 2, p. 21-28, 2002.
·
S. Nedevschi, Mircea Vaida, Tiberiu
Marita, Radu Danescu, Dan Frentiu, Florin Oniga, Ciprian Pocol, ”Camera
Calibration Method for Stereo Measurements”, Proceedings of IEEE-TTTC
International Conference on Automation, Quality and Testing, Robotics,(THETA
13), May 23 – 25, 2002, Cluj-Napoca, Romania, pp. 111-118.
·
S. Nedevschi, R. Teodorescu, Z.
Gyöngyi, S. Nedevschi jr., Antonia Leuca, D.Olinic, ”Integrated Medical Imaging
Environment”, Proceedings of IEEE-TTTC International Conference on
Automation, Quality and Testing, Robotics, (THETA 13), May 23 – 25, 2002,
Cluj-Napoca, Romania, pp. 118-123.
·
S. Nedevschi, D. Olinic, Z. Gyöngyi,
A. Leuca, R. Teodorescu, S. Nedevschi jr. “Advanced DICOM Compliant Structured Reporting
for Echocardiographic Images”, ACAM Journal, Vol. 12, no.2, 2002, pp.
43-51.
·
S. Nedevschi, T. Marita, and D. Puiu,
“Intermediate Representation in Model Based Recognition Using Straight Line and
Ellipsoidal Arc Primitives”, in 11th International Conference on Image
Analysis and Processing (ICIAP 2001), 26-28 September 2001, Palermo, Italy,
2001, p. 156–161.
·
S. Nedevschi, D. Olinic, Z. Gyöngyi, S. Nedevschi Jr., and R. Teodorescu, “Feature based retrieval
of echocardiographic images using DICOM structured reporting”, in Computers
in Cardiology, Rotterdam, 2001, p. 679–682.
·
S. Nedevschi, I. Salomie, Z. Gyöngyi,
S. Nedevschi jr., R. Teodorescu, D. Olinic, Retrieval of DICOM Ultrasound
Images Based On Structured Medical Description, Proceedings of ICETA 2001,
17-19 October, 2001, Kosice, Slovakia, ELFA s. r. o., pp. 181-186
·
S. Nedevschi, Z. Gyöngyi, R.
Teodorescu, S. Nedevschi jr., D. Olinic, E-Environment for Medical Image
Processing, Proceedings of International Symposium Electronic Business on
Internet 2001, 17-19 October, 2001, Cluj, Romania, TU Cluj-Napoca, pp.
17-22
·
D. Olinic , B. Popa, C.
Homorodean, N. Olinic, S. Nedevschi, “Intranet and Internet
Retrieval of DICOM Cardiovascular Ultrasound Images Based on Structured Medical
Description”, 23-th Congress of the European Society of Cardiology,
Stockholm, 1-5 September, 2001, abstract published in European Heart Journal,
2001, vol. 22, September, pp. 145
·
M. Imecs, P. Bikfalvi, S. Nedevschi, and J. Vásárhelyi, “Implementation of a
Configurable Controller for an AC Drive Control: A Case Study”, in 8th IEEE
Symposium on Field-Programmable Custom Computing Machines (FCCM 2000),
17-19 April 2000, Napa Valley, CA, Proceedings, 2000, p. 323–324.
·
S. Nedevschi, D. Olinic, Z. Gal, A.
Leuca, C. Frentiu, A. Becea, and N. Olinic, “Retrieval of DICOM
echocardiographic images using the diagnosis and biological structure features
as search keywords”, in Computers in Cardiology, Cambridge, MA, USA,
2000, p. 283–286.
·
M. Imecs, Á. Tihamér, S. Nedevschi, J. Vásárhelyi, P. Bikfalvi, “Dynamically
re-configurable adaptive controller for AC drive control”, Proceedings of
9th International Conference and Exhibition on EPE, PEMC 2000, vol. 7,
Kosice, September, 2000, pp. 7-81 – 7-85
·
M. Imecs, P. Bikfalvy, S. Nedevschi, J. Vasarhelyi, “Implementation of a
Reconfigurable Controller for an AC Drive Control”, Proceedings of
International Conference Control 2000, Cambridge, UK, September, 2000
·
S. Nedevschi, A. Leuca, D. Olinic, N.
Olinic, “Echocardiographic Images Database for Research and Teaching Purposes.
Note I: Database Design”, Proceedings of International Workshop
“Telecommunication and Distance Learning in Medical Imaging ”, UMF Cluj,
4-14 June, 2000, pp. 89-98
·
D. Olinic, S. Nedevschi, A. Leuca, B. Popa, N. Olinic, “Echocardiographic
Images Database for Research and Teaching Purposes. Note II: Population and
experimentation of the Database Design”, Proceedings of International
Workshop “Telecommunication and Distance Learning in Medical Imaging ”, UMF
Cluj, 4-14 June, 2000, pp. 99-106
·
S. Nedevschi, I. Salomie, D. Olinic,
A. Leuca, “Web Based Methodology for education in the Domain ofUltrasound Image
Medical Description”, Proceedings of WBLE 2000, Porto, Portugal, June,
2000, pp.151-153
·
S. Nedevschi, O. Cret, Z. Baruch,
“Reconfigurable, Real Time, Single Chip Convolution Device For Image
Processing”, Proceedings of International Conference on Quality Control,
Automation and Robotic, Cluj, 18-20 May, 2000, pp. 261 – 268
·
R. Dollinger, S. Nedevschi, R. Serban, “Computerized Library for
International Standards In Information and Communication Technology”, Proceedings
of International Conference on Quality Control, Automation and Robotic,
Cluj, 18-20 May, 2000, pp. 347 – 355
·
S. Nedevschi, J. Vásárhelyi, M.
Imecs, P. Bikfalvi, “Configurable Systems And Possible Applications”, Proceedings
of International Conference on Quality Control, Automation and Robotic,
Cluj, 18-20 May, 2000, pp. 367 –372
·
I.Salomie, S. Nedevschi, “Mobile Agents for e-Assessment in Virtual
Universities”, Proceedings of WBLE 2000, Porto, Portugal, June, 2000,
pp.161-163
·
M. Imecs, S. Nedevschi, P. Bikfalvi, J. Vásárhelyi, “Implementation of a
Configurable Controller for an AC Drive Control: a Case Study”, Proceedings
of FPGA for Custom Computing Machines, FCCM2000, USA,April, 2000
·
S. Nedevschi, I. Salomie, D. Olinic,
Z. Gal-Bancsi, “DICOM Client for Ultrasound Imaging”, Proceedings of
MicroCAD’2000 International Computer Science Conference, Section E,
Miskolc, Hungary, 23-24 February, 2000, pp. 123-128
·
M. Imecs, J. Vásárhelyi,
P. Bikfalvi, S.
Nedevschi “Re-Configurable
Controller Implementation for AC Drive Control”, Proceedings of
MicroCAD’2000 International Computer Science Conference, Section E,
Miskolc, Hungary, 23-24 February, 2000, pp. 81-86
·
I. Salomie, S. Nedevschi, F. Hamza-Lup, R. Bot, "Virtual University of
Cluj - A Web based Educational Framework", Proceedings of International
Symposium on Teleeducation and Telemedicine, ISTEP 2000, Kosice, Slovakia,
22-24, March 2000, pp. 251-256
·
D. Olinic, S. Nedevschi, C. Feier, Z. Gal, and N. Olinic, “Structured
medical text field of DICOM 3.0 transesophageal echocardiography image file for
database implementation”, in Computers in Cardiology, 1999, p. 443-446.
·
S. Nedevschi, Z. Gal-Bancsi, C.
Feier, “DICOM Client for Echographic Image Acquisition, Processing and
Communication”, Irish Journal of Medical Science, Vol. 168, Supplement
4, June, 1999, pp. 13
·
S. Nedevschi, D. Olinic, L. Farcau,
C. Feier, "Standardul DICOM in imagistica medicala", Clujul
Medical, no.1, 1999, pp. 3-13
·
S. Nedevschi, D. Olinic, Z. Gal-Bancsi, C. Feier, “DICOM Client
for Ultrasound Movie Acquisition, Visualisation, Processing and Communication”,
Proceedings of International Conference MEDINF’99, Sibiu, Romania, 14-16
October, 1999
·
S. Nedevschi, “A robust and effective
method for bi-dimensional recognition of 2D and 3D objects from intensity
images”, in Proceedings of IEEE/RSJ International Conference on Intelligent
Robots and Systems, IROS 1994, September 12-16, 1994, Munich, Germany,
1994, p. 2044–2051.
·
D. Olinic, F. Tremel, P.
Defaye, N. Olinic, S. Nedevschi, R. Vlaicu, and B.
Denis, “Quantification of fragmented ventricular depolarizations over the
entire QRS complex for improving the identification of patients with
ventricular tachycardia”, in Computers in Cardiology, 1993, p. 69-72.
·
D. Olinic, S. Nedevschi, D. Negrescu, A. Jascau, R. Vlaicu, and N. Olinic,
“Averaged unfiltered electrocardiograms in the investigation of late
potentials”, in Computers in Cardiology, 1992, p. 405-408.
·
D. Olinic, N. Olinic, S. Nedevschi, A. Kelemen, R. Vlaicu, “His-Purkinje
waveforms on externally recorded averaged unfiltered electrocardiograms”, Médicine
interne, 25(4), pp.
271-280, 1987
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