151-0632-00L  Vision Algorithms for Mobile Robotics

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



Catalogue data

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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersD. Scaramuzza
Typesession examination
Language of examinationEnglish
Course attendance confirmation requiredNo
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationoral 30 minutes
Additional information on mode of examination70% 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 linkSlides of the course
LiteratureComputer 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

NumberTitleHoursLecturers
151-0632-00 VVision Algorithms for Mobile Robotics
**together with the Uni Zurich**
2 hrs
Thu10-12LFW C 5 »
D. Scaramuzza
151-0632-00 UVision Algorithms for Mobile Robotics
**together with the Uni Zurich**
2 hrs
Thu14-16HG E 33.1 »
D. Scaramuzza

Restrictions

Places50 at the most
Waiting listuntil 30.09.2016

Offered in

ProgrammeSectionType
Mechanical Engineering MasterRobotics, Systems and ControlWInformation
Robotics, Systems and Control MasterCore CoursesWInformation