151-0632-00L  Vision Algorithms for Mobile Robotics

Semester Autumn Semester 2016
Lecturers D. Scaramuzza
Periodicity yearly course
Language of instruction English
Comment Number of participants limited to 50



Catalogue data

Abstract For 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).
Objective Learn 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).
Content For 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 notes Lecture 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 / Notice Basics of algebra and geomertry, matrix calculus.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits 4 credits
Examiners D. Scaramuzza
Type session examination
Language of examination English
Course attendance confirmation required No
Repetition The performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examination oral 30 minutes
Additional information on mode of examination 70% of the final grade is based on the oral exam, 30% on an individual mini project. A list of possible mini projects will be out by the 3rd week of the course. Students can also propose their own mini project.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

 
Main link Slides of the course
Literature Computer Vision: Algorithms and Applications, by Richard Szeliski, Springer, 2010.
Robotics Vision and Control: Fundamental Algorithms, by Peter Corke 2011.
Only public learning materials are listed.

Courses

Number Title Hours Lecturers
151-0632-00 V Vision Algorithms for Mobile Robotics
**together with the Uni Zurich**
2 hrs
Thu 10-12 LFW C 5 »
D. Scaramuzza
151-0632-00 U Vision Algorithms for Mobile Robotics
**together with the Uni Zurich**
2 hrs
Thu 14-16 HG E 33.1 »
D. Scaramuzza

Restrictions

Places 50 at the most
Waiting list until 30.09.2016

Offered in

Programme Section Type
Mechanical Engineering Master Robotics, Systems and Control W Information
Robotics, Systems and Control Master Core Courses W Information