The road to completely operational self-driving cars is still long because of the complexities of the requirements. In particular, the correct perception of complex traffic situations remains a challenge and is prone to errors. Multi-layered scenarios with changing road users, confusing crossings/intersections and changing visibility and surrounding conditions make it impossible for autonomous cars to act correctly on their own.
In cooperation with the project partners, XITASO creates a robust sensor system which takes external influences effectively into consideration and thereby increases the safety of autonomous vehicles in challenging traffic situations. For this purpose, sensor data from the vehicle is merged with sensor data from the infrastructure to create an innovative overall sensor system via fast, secure, and reliable V2X communication (vehicle-to-everything).
To ensure the success of the project VALISENS (valid innovative overall sensor systems for cooperative automated driving), the combination of infra-red cameras and their data with other sensors like classical RGB cameras, LiDAR, and radars is researched – for the development of a reliable and trustworthy sensor system for autonomous vehicles in intersection traffic.
The focus is on the development of AI based multi-perspective and multimodal fusion processes as well as object recognition, and their transfer to driving scenarios. Particular attention is paid to the robustness under various external conditions in the merging of the IR pictures with classic camera pictures.
New vehicle and system technologies
TÜV Rheinland Consulting GmbH
With research and innovation projects, we explore the potential of tomorrow’s technologies. For this purpose, we are always looking for committed colleagues who would like to continue and shape the XITASO path with us.
Dr. Andreas Angerer
Tel. +49 821 885882-94
andreas.angerer@xitaso.com