392207 Computer Vision for Autonomous Agents and Vehicles (Pj) (WiSe 2022/2023)
Contents, comment
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In this ISY project you will gain practical experience with Computer Vision for Autonomous Vehicles in simulated environments, apply neural networks and computational approaches to learn and produce complex purposeful actions in the context of one of the following environments on your choice:
CARLA: https://carla.org
AirSim Car Demo: https://youtu.be/gnz1X3UNM5YGitHub wiki: https://github.com/ndrwmlnk/deep-learning-for-satellite-and-street-view-mapping
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | ONLINE | 10.10.2022-03.02.2023 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-P_ver1 Projekt | Projekt | Ungraded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Introduction to Neural Networks course or Advanced Neural Networks. Python or C++ (>= 1 year)
- Registered number: 4
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- Address:
- WS2022_392207@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_370800245@ekvv.uni-bielefeld.de
- Coverage:
- 2 Students to be reached directly via email
- Notes:
- Additional notes on the electronic mailing lists
- Email archive
- Number of entries 0
- Open email archive
- Last update basic details/teaching staff:
- Thursday, October 6, 2022
- Last update times:
- Wednesday, August 17, 2022
- Last update rooms:
- Wednesday, August 17, 2022
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
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- Clashing dates for this course
- Links to this course
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=370800245
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- ID
- 370800245