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Open Fusion Platform (OFP)

Goal of the overall project is the development of a fusion platform with open interfaces in order to support the development of highly and semiautonomous driving functionalities on a level close to series production. Developing open interfaces allows other OEMs and Tier1s to seamlessly integrate their products into the platform.

Main Use-Case: An electric vehicle drives highly automated to a charging station and localizes itself precisely. After charging continues the vehicle continues autonomously to a normal free parking space. Within the consortium we develop intelligent processes enabling the development of novel Computer-Vision recognition tasks, i.e. for dynamic objects, especially pedestrians.

Basic data
Project duration:January 2016 - March 2019
Funded by:BMBF                                        
Coordinator:HELLA GmbH & Co. KGaA
Project Partners: Hella KGaA Hueck & Co., Deutsches Zentrum für Luft-und Raumfahrt, Elektrobit Automotive GmbH, Infineon Technologies AG, InnoSenT GmbH, Hella Aglaia Mobile Vision GmbH, Geschäftsstelle Elektromobilität RWTH Aachen, Streetscooter Research GmbH, TWT GmbH Science & Innovation

For more detailed information visit the project website.

Project Lead
Cristóbal Curio

Cristóbal Curio , Prof. Dr.-Ing.

cristobal.curio@dont-want-spam.reutlingen-university.de | +49 7121 271 4005

Team
Thomas Gulde

Thomas Gulde , M.Sc.

thomas.gulde@dont-want-spam.reutlingen-university.de | +49 7121 271 - 4093

Dennis Burgermeister

Dennis Burgermeister , M.Sc.

dennis.burgermeister@dont-want-spam.reutlingen-university.de | +49 7121 271 - 4010