While the use of next-generation radars promises to further progress object detection and environment understanding due to high-resolution data, there are still several challenges that we need to overcome. The presentation will address the most important aspects, including the quality of data, and the various safety issues, e.g. with regard to adverse weather driving or uncertainty estimation. It will further address the three main challenges and outline respective solution approaches, including AI models for radar data, structured noise in radar data, and sensor fusion.
In this session, you will learn more about:
- AI models for radar data and the difference to models developed for camera and lidar
- Understanding the structure of noise in radar data
- Fusing radar data with data from other sources.