| Carl Friedrich Gauß Faculty | Department of Computer Science

Simulation Study: Collective Perception

The concept of collective Perception aims at extending the awareness range of ITS-S. This is achieved by broadcasting information on objects perceived by local sensors like e.g. radar, lidar or cameras. That information can then help other ITS-S to "see" objects (e.g. pedestrians, cyclists or cars) that their own sensor were not yet able to detect.

CP example scenario

The IBR is involved in the standardization of the Collective Perception Service at the ETSI on behalf of Volkswagen. Together with other companies, research institutions and universities from around the world, we are working on the according TR 103 562 and TS 103 324.

Project members at IBR

Keno Garlichsgarlichs[[at]]ibr.cs.tu-bs.de+49-531-3913264115
Alexander Willeckewillecke[[at]]ibr.cs.tu-bs.de+49-531-3913264115
Christian Hagauhagau[[at]]ibr.cs.tu-bs.de
Prof. Dr.-Ing. Lars Wolfwolf[[at]]ibr.cs.tu-bs.de+49-531-3913288138


Development of a Multi-Channel Operation Concept for Collective PerceptionMaster ThesisKeno Garlichs, Alexander Willeckerunning
Redundancy Mitigation for the Collective Perception ServiceMaster ThesisKeno Garlichs, Alexander Willeckerunning
Parking Occupancy Monitoring using Collective PerceptionBachelor Thesis, Master ThesisAlexander Willecke, Keno Garlichsrunning
Selectively Relaying ITS-G5 Messages via Roadside Units at IntersectionsMaster ThesisKeno Garlichsfinished
Entwicklung eines HMI-Konzepts zur Vermittlung von Collective Perception MessagesMaster ThesisKeno Garlichsfinished
Vulnerable Road User protection using Collective PerceptionBachelor ThesisAlexander Willecke, Keno Garlichsfinished
Parking Occupancy Monitoring using Edge Computing and Collective PerceptionMaster ThesisAlexander Willecke, Keno Garlichscancelled

if you are interested in writing a thesis regarding this project, please feel free to contact Keno Garlichs.

Open Source Software from this project


last changed 2020-08-03, 13:53 (dynamic content) by Keno Garlichs