Davide Scaramuzza: Catalogue data in Autumn Semester 2016

Name Prof. Dr. Davide Scaramuzza
Address
Autonome Systeme
ETH Zürich, LEE J 206
Leonhardstrasse 21
8092 Zürich
SWITZERLAND
E-maildavide.scaramuzza@mavt.ethz.ch
URLhttp://rpg.ifi.uzh.ch/people_scaramuzza.html
DepartmentMechanical and Process Engineering
RelationshipLecturer

NumberTitleECTSHoursLecturers
151-0632-00LVision Algorithms for Mobile Robotics Information Restricted registration - show details
Number of participants limited to 50
4 credits2V + 2UD. Scaramuzza
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.