Sergiu Nedevschi

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Address:      Technical University of Cluj-Napoca,

                   26-28, Gh. Baritiu Street, 400114,

                   Cluj-Napoca, ROMANIA

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Email:          Sergiu.Nedevschi@cs.utcluj.ro

Phone:        +40 264 401235

Fax:            +40 264 594491

Web:           http://cv.utcluj.ro

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Academic Degree:

Professor with Computer Science Department, Faculty of Automation and Computer Science

Director of Image Processing and Pattern Recognition Research Center

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Degree:

Diplomat Engineer (Technical University of Cluj-Napoca)

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Doctor Degree:

PhD. E. E.(Technical University of Cluj-Napoca)

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Courses:

·         Image Processing

·         Pattern Recognition

·         Computer Vision

·         Computer Vision for Autonomous Systems

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Research Activity:

·         Involved in 80 research projects, being the coordinator, local coordinator or manager of 62 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.

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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

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Selected Projects:

·         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)

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Publications:

·         Books:20

·         Chapters in Books:8

·         Papers:>430

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Patents:

·         1 patent

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Citations:

·         h-index 26 in ISI Web of Science

·         h-index 29 in SCOPUS

·         h-index 38 in Google Academic

 

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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 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)

·         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, Ireland, Australia, Pakistan

·         Invited professor at 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

·         Chairman of the Engineering Sciences Panel of CNATDCU 2010-2012

·         Member of the CNATDCU Computer, Information Technology and Systems Engineering Committee, 2012-2020

·         Chairman of CNATDCU's Computer, Information Technology and Systems Engineering Committee, since 2020

 

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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

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Conferences and Workshops Attended in The Last Years:

·         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

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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.

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Books and Book Chapters:

·         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.

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Recent Papers:

 

·         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, Early Access, MAR 2022, DOI10.1109/TITS.2022.3156794.

·         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, Vol. 22, AN 783, JAN, 2022, DOI: 10.3390/s22030783,

·         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, DOI: 10.1109/TGRS.2021.3060513.

 

 

·         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, 2017.

·         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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Last update September 2012.