151-0632-00L  Vision Algorithms for Mobile Robotics

SemesterAutumn Semester 2016
LecturersD. Scaramuzza
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 50


AbstractFor a robot to be autonomous, it has to perceive and understand the world around it. This course introduces you to the fundamental computer vision algorithms used in mobile robotics, in particular: feature extraction, multiple view geometry, dense reconstruction, object tracking, image retrieval, event-based vision, and visual-inertial odometry (the algorithm behind Google Tango).
ObjectiveLearn the fundamental computer vision algorithms used in mobile robotics, in particular: feature extraction, multiple view geometry, dense reconstruction, object tracking, image retrieval, event-based vision, and visual-inertial odometry (the algorithm behind Google Tango).
ContentFor a robot to be autonomous, it has to perceive and understand the world around it. This course introduces you to the fundamental computer vision algorithms used in mobile robotics, in particular: feature extraction, multiple view geometry, dense reconstruction, object tracking, image retrieval, event-based vision, and visual-inertial odometry (the algorithm behind Google Tango).
Lecture notesLecture slides will be available after each lecture on the course official website: http://rpg.ifi.uzh.ch/teaching.html
Literature[1] Computer Vision: Algorithms and Applications, by Richard Szeliski, Springer, 2010.
[2] Robotics Vision and Control: Fundamental Algorithms, by Peter Corke 2011.
Prerequisites / NoticeBasics of algebra and geomertry, matrix calculus.