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 |
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 |
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 |
| 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. | |
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 | |