151-0632-00L Vision Algorithms for Mobile Robotics
Semester | Autumn Semester 2016 |
Lecturers | D. Scaramuzza |
Periodicity | yearly recurring 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) | |
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ECTS credits | 4 credits |
Examiners | D. Scaramuzza |
Type | session examination |
Language of examination | English |
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 |
| D. Scaramuzza | |||
151-0632-00 U | Vision Algorithms for Mobile Robotics **together with the Uni Zurich** | 2 hrs |
| D. Scaramuzza |
Groups
No information on groups available. |
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 | ![]() |
Robotics, Systems and Control Master | Core Courses | W | ![]() |