Master-Praktikum - Learning for self-driving cars and intelligent systems (IN2106, IN4273)
Course 0000004345 in WS 2020/1
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 9 - Chair of Computer Vision and Artificial Intelligence (Prof. Cremers) |
| Lecturers |
Nikolaus Demmel Lukas Köstler Responsible/Coordination: Daniel Cremers Assistants: Muhammad Qadeer Ahmed Khan Patrick Wenzel |
| Dates |
Wed, 14:00–16:00, virtuell |
Assignment to Modules
-
IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Learning-based approaches have recently made tremendous progress in the computer vision and robotics research community. In this practical course, we will solve challenging real-world problems in the area of self-driving cars and intelligent systems. Topics will be in the direction of perception, control, and environmental understanding. This may also involve working on massive datasets including unstructured or unordered data. (https://vision.in.tum.de/teaching/ss2020/intellisys_ss2020) |
|---|---|
| Links | TUMonline entry |