Bridging the Gap Between Synthetic and Real Radar Data for Improved Object Detection in Autonomous Driving

Synthetic radar data generated by the proposed RadSimReal simulation can effectively replace real data for training object detection models, achieving comparable or even better performance when tested on real-world data.