Chaokun Zhang

Achieving up to 82x reduction in communication volume without sacrificing spatial accuracy could revolutionize collaborative perception in autonomous vehicles.

Diffusion models can actively repair corrupted sensor data in collaborative perception, leading to significantly improved detection accuracy and robustness.

Achieve superior cooperative perception by adaptively compensating for temporal latency and noise, outperforming existing methods in complex traffic scenarios.