392248 Project: Vision-based Human Safety and Assistance Detection for Public Spaces (Pj) (SoSe 2025)

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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  
by appointment n.V.   07.04.-18.07.2025

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Subject assignments

Module Course Requirements  
39-Inf-WP-CIT-x Cognitive Interaction Technology (Focus) Kognitive Interaktionstechnologie (Schwerpunkt) Vertiefendes Projekt Student information
- Graded examination Student information
39-Inf-WP-KI-x Artificial Intelligence (Focus) 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) 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) 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) 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.

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Address:
SS2025_392248@ekvv.uni-bielefeld.de
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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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ID
533149158