Davide Scaramuzza: Catalogue data in Autumn Semester 2017

Name Prof. Dr. Davide Scaramuzza
Address
University of Zurich
Andreasstrasse 15 / AND 2.10
Robotics and Perception Group
8050 Zürich
SWITZERLAND
Telephone044 635 24 09
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 55
Registration is on a first come, first served basis and SPACE IS LIMITED!
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 key computer vision algorithms used in mobile robotics, such as feature extraction, multiple view geometry, dense reconstruction, tracking, image retrieval, event-based vision, and visual-inertial odometry (the algorithms behind Google Tango, Ms Hololens, and the Mars rovers).
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).
ContentEach lecture will be followed by a lab session where you will learn to implement the building block of a visual odometry algorithm in Matlab. By the end of the course, you will integrate all these building blocks into a working visual odometry algorithm.
Lecture notesLecture slides will be made available 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.
[3] An Invitation to 3D Vision, by Y. Ma, S. Soatto, J. Kosecka, S.S. Sastry.
[4] Multiple view Geometry, by R. Hartley and A. Zisserman.
[5] Introduction to autonomous mobile robots 2nd Edition, by R. Siegwart, I.R. Nourbakhsh, and D. Scaramuzza, February, 2011
Prerequisites / NoticeFundamentals of algebra, geomertry, matrix calculus, and Matlab programming.