Xuanyao Chen

Papers

Total Citations

283

H-Index

About

Xuanyao Chen is a leading researcher in computer vision and autonomous perception, whose work centers on sensor fusion and 3D object detection—critical technologies for autonomous driving and robotics. His most significant contribution is the development of FUTR3D, the first unified end-to-end sensor fusion framework for 3D detection. This groundbreaking work, published in 2023, has already garnered over 281 citations, reflecting its profound impact on the field. FUTR3D addresses a long-standing challenge in multi-modal perception: the need for customized designs depending on sensor combinations. By introducing a flexible, transformer-based architecture that seamlessly integrates data from cameras, LiDAR, and radar, Chen’s framework enables more robust and generalizable 3D detection across diverse sensor setups. This innovation not only simplifies system design but also sets a new standard for scalability in autonomous perception. Chen’s research is widely recognized for its practical relevance, offering a pathway toward safer and more reliable autonomous systems. His work continues to inspire advances in sensor fusion, making him a pivotal figure in the evolution of intelligent perception.