392248 Project: Vision-based Human Safety and Assistance Detection for Public Spaces (Pj) (SoSe 2025)
Contents, comment
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In this project, you will develop a vision-based human safety and assistance detection system for a public train station in the context of Automatic Train Operation (ATO). While there are many specialized algorithms concerned with fall detection, few approaches provide a comprehensive detection of safety critical events in public spaces that extend to the general detection of injuries, assistive needs and social violence. To develop such a system, you are working hands-on with an experimental setup with stereocameras and LiDARs here in CITEC.
Your tasks will be to:
- Farmiliarize yourself with the sensor setup and play around with existing models for human safety
- Train a model to detect a broad range of safety critical events
- Optionally perform camera-LiDAR fusion to enhance detection performance
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-WP-CIT-x Kognitive Interaktionstechnologie (Schwerpunkt) | Vertiefendes Projekt | Student information | |
| - | Graded examination | Student information | |
| 39-Inf-WP-KI-x Künstliche Intelligenz (Schwerpunkt) | Vertiefendes Projekt | Student information | |
| - | Graded examination | Student information | |
| 39-M-Inf-AI-app-foc Applied Artificial Intelligence (focus) | Applied Artificial Intelligence (focus): Projekt | Student information | |
| - | Ungraded examination | Student information | |
| 39-M-Inf-ASE-app-foc Applied Autonomous Systems Engineering (focus) | Applied Autonomous Systems Engineering (focus): Projekt | Student information | |
| - | Ungraded examination | Student information | |
| 39-M-Inf-INT-app-foc Applied Interaction Technology (focus) | Applied Interaction Technology (focus): Projekt | Student information | |
| - | 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.
- Address:
- SS2025_392248@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.
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Monday, March 3, 2025
- Last update times:
- Monday, March 3, 2025
- Last update rooms:
- Monday, March 3, 2025
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Language
- This lecture is taught in english
- Department
- Faculty of Technology
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- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=533149158
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- ID
- 533149158