392263 ISY Project: Computer Vision for Autonomous Agents and Vehicles (Pj) (SoSe 2023)

Contents, comment

In this project, you will gain practical experience with Computer Vision for Autonomous Vehicles in simulated environments [1-3], 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] CARLA: https://carla.org/
[2] Learn2Race: https://www.aicrowd.com/challenges/learn-to-race-autonomous-racing-virtual-challenge
[3] Deep Learning for Satellite and Street View Mapping: https://github.com/ndrwmlnk/deep-learning-for-satellite-and-street-view-mapping

In case the proposal would not attract enough students for a team project, I'd adapt it into an individual project or a project for two students (tandem project)

Requirements for participation, required level

Required skills
- Theoretical and practical experience with Deep Learning
- Python experience > 1 year.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  

Show passed dates >>

Subject assignments

Module Course Requirements  
39-M-Inf-GP Grundlagenprojekt Intelligente Systeme weiteres 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.


No more requirements
No eLearning offering available
Registered number: 1
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:
SS2023_392263@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_403129651@ekvv.uni-bielefeld.de
Coverage:
1 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:
Friday, February 3, 2023 
Last update times:
Friday, February 3, 2023 
Last update rooms:
Friday, February 3, 2023 
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=403129651
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
403129651