Artificial Vision for Mobile Robots

Lecturer: Sergiu Nedevschi

 

Syllabus:

Introduction

Probability Review

Bayesian Networks

Markov Models

Bayes Filters

Kalmn Filters

Particle Filters

Robot Motion

Sensors Measurements

Mobile Robot Localization

Grid and Monte Carlo Localization

Traking

Multi-Sensor Fusion

Text books and references:

- S. Thrun, W. Burgard, D. Fox, “Probabilistic Robotics”, The MIT Press, 2005

- R. Siegwart, I. Nourbakhsh, “Autonomous Mobile Robots”, The MIT Press, 2004

- E. Trucco, A. Verri, “Introductory Techniques for 3-D Computer Vision”, Prentice Hall, 1998.

- IEEE Transactions on Pattern Analyses and Machine Intelligence

- IEEE Transactions on Intelligent Transportation Systems

- IEEE Transactions on Image Processing