392231 Project: 3D Person detection and tracking using monocular vision and depth generation models (Pj) (SoSe 2026)
Contents, comment
-
Autonomous robots and vehicles operating in environments shared with people must reliably estimate the 3D position of humans and objects to ensure safe operation. Traditionally, this requires dedicated depth sensors such as stereo cameras or LiDAR, which increase system complexity, cost, and calibration effort. In this project, you will investigate whether object detection models in combination with monocular depth generation models can be used to detect and track people in 3D using a single camera. Using state-of-the-art models (e.g. Depth Anything), you will evaluate depth accuracy, 3D localization error, and inference speed, and compare the results against measurements from physical depth sensors. Experiments will be conducted using a calibrated setup of stereocameras and LiDARs.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period | |
|---|---|---|---|---|---|
| by appointment | n.V. | 13.04.-24.07.2026 |
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-ASE-app-foc_a Applied Autonomous Systems Engineering (focus) Applied Autonomous Systems Engineering (focus) | Applied Autonomous Systems Engineering (focus): Projekt | Study requirement
|
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:
- SS2026_392231@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_676524490@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Monday, February 2, 2026
- Last update times:
- Monday, February 2, 2026
- Last update rooms:
- Monday, February 2, 2026
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 2
- Language
- This lecture is taught in english
- 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=676524490
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 676524490