392247 Project: LiDAR-based 3D Person Detection for Automatic Train Operation (ATO) (Pj) (SoSe 2025)

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In this project, you will work on integrating a LiDAR-based 3D Person Detection in the context of ATO (Automatic Train Operation). An important component of ATO is an autonomous door operation that controls the safe exchange of passengers without the need for additional staff at the train platform. To facilitate a robust door control that can operate under conditions where camera based system will fail, a purely LiDAR-based person detection system should be implemented and adapted to the ATO domain.
Your tasks will be to:

- Explore the 3D point cloud data of reenacted scenarios at the train platform
- Integrate state-of-the-art 3D object detection models and examine their applicability for an autonomous door operation
- Extend these models to detect domain specific utilities (e.g. luggage, bikes, mobility aids, etc.)

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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

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Address:
SS2025_392247@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
533121634