One of the greatest challenges in the development of automated vehicles is the precise perception of the vehicle's surroundings, especially in poor weather conditions. Commercially available sensor systems are still limited in their perception performance in the news, as rain, fog or snow can significantly impair detection performance.
This is where the LiRaS (LiDAR Radar Combi System) research project comes in. It is dedicated to the development of advanced sensor solutions for vehicle automation. The project brings together scientific and industrial partners to create a comprehensive basis for the exchange of experience and future technological development.
The approach of the LiRaS research project is based on the integration of radar and LiDAR technologies on a single chip to ensure comprehensive and fail-safe environment detection for vehicles. This methodology combines the strengths of both sensor technologies and compensates for their respective limitations.
The aim of the LiRaS project is to develop an ultra-stable, extremely low-noise imaging 3D radar sensor system with integrated LiDAR elements on an electronic-photonic co-integrated chip level. This system is intended to provide a cost-effective and redundant source of information for secure data fusion.
