Robustness of sensors and sensor systems against environmental conditions for Highly Automated Driving

Overview

The project pursues the development of innovative sensor technology and adapted test procedures for highly automated driving under adverse weather conditions in which current assistance systems do not work reliably. For this purpose, individual sensors are virtually mapped and simulated under bad weather conditions. In addition, overall sensor systems are dynamically tested and optimized with the aid of AI-based methods and cloud connections. Based on this, the research project will develop a virtual test platform for environmental sensor technology that will allow sensor systems to be tested early in the development phase and thus ensure their functionality in any driving situation.

Key Facts

Research profile area:
Intelligent Technical Systems
Project type:
Research, Technology Transfer
Project duration:
01/2021 - 12/2024
Funded by:
BMWi

More Information

Principal Investigators

contact-box image

Prof. Dr.-Ing. habil. Ansgar Tr?chtler

Regelungstechnik und Mechatronik / Heinz Nixdorf Institut

About the person

Cooperating Institutions

Hella KGaA Hueck & Co.

Cooperating Institution

dSPACE GmbH

Cooperating Institution

Go to website

Fraunhofer Institut für Entwurfstechnik Mechatronik IEM

Cooperating Institution

Go to website

Publications

LiDAR-Sensormodell basierend auf zeitabh?ngigem Photon Mapping
L. Bu?emas, N. Fittkau, S. Gausemeier, A. Tr?chtler, N. Rüddenklau, in: VDI Mechatroniktagung Dresden 2024, Technische Universit?t Dresden, Dresden, 2024, pp. 29–34.
Show all publications