392287 ISY Project: Computer Vision for Autonomous Agents and Vehicles (Pj) (SoSe 2022)
Contents, comment
-
The project provides an opportunity to gain practical experience with computer vision systems for autonomous agents [1][2] 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.
[1] Udacity: https://www.udacity.com/course/computer-vision-nanodegree--nd891
[2] Minecraft BASALT: https://www.aicrowd.com/challenges/neurips-2022-minerl-basalt-competitionRequired skills:
• Introduction to Neural Networks or Advanced Neural Networks courses.
• Python or C++ ( > 1 year).
In case this would not find enough interest for a team project, this project proposal would be also offered (in reduced/modified form)
• an individual project
• a project for only 2 students
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | Gruppenprojekt | 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.
- Registered number: 6
- 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:
- SS2022_392287@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_335021238@ekvv.uni-bielefeld.de
- Coverage:
- 4 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, February 10, 2022
- Last update times:
- Wednesday, February 9, 2022
- Last update rooms:
- Wednesday, February 9, 2022
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Department
- Faculty of Technology
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=335021238
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 335021238