Traffic detection using modular infrastructure sensors as a data basis for highly automated and connected driving

Authors

Laurent Kloeker, M.Sc., Amarin Kloeker, M.Sc., Fabian Thomsen, M.Sc., Armin Erraji, M.Sc., Univ.-Prof. Dr.-Ing. Lutz Eckstein, Institute for Automotive Engineering (ika), RWTH Aachen University, Aachen, Germany

Summary

Infrastructure sensors enable the collection of reference data for automated and connected driving operations. The collected traffic data can not only be sent online to existing receivers, such as connected and automated vehicles (CAVs), but can also be stored in a central database for research and development purposes. This paper presents approaches to the functionalities of modular infrastructure sensor systems, which are used in the research projects HDV-Mess and ACCorD. Both research projects are funded by the European Regional Development Fund (ERDF) and the Federal Ministry of Transport and Digital Infrastructure (BMVI) respectively. Special attention is paid to the data processing pipeline from raw sensor data to fused object lists and their deployment.

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