Radar and camera sensor fusion is a pivotal technology in advancing automated parking within ADAS. By leveraging the complementary strengths of radar and camera sensors, sensor fusion enables accurate perception, object detection, and environmental understanding, which are critical for precise and safe automated parking. Radar sensors excel at detecting object distance, velocity, and working under poor visibility conditions, while camera sensors provide rich visual context for identifying objects, lane markings, and obstacles. Combining these sensor modalities enhances reliability, improves detection accuracy, and ensures robust system performance in complex parking scenarios. This presentation will outline the principles, architecture, and implementation of radar and camera sensor fusion in automated parking ADAS. Participants will gain insights into real-world challenges and solutions, as well as the potential future developments in this domain.

In this session, you will learn more about:

• The advantages of radar and camera sensor fusion over standalone sensors for automated parking
• Techniques and architecture for fusing radar and camera data in real-time
• Strategies to overcome challenges like sensor noise, environmental variability, and occlusion
• Insights into testing, validation, and safety considerations for sensor fusion systems