Yilun Wang

Moscow Institute of Thermal Technology, Jiangsu University

Papers

Total Citations

356

H-Index

About

Yilun Wang is a leading researcher at the intersection of autonomous driving perception and advanced robotics, with a primary focus on 3D computer vision and sensor fusion. His most impactful contribution is the development of FUTR3D, the first unified end-to-end sensor fusion framework for 3D detection, which has garnered over 280 citations. This work revolutionizes how autonomous systems integrate data from diverse sensors—such as cameras, LiDAR, and radar—by eliminating the need for customized designs for each sensor combination, thereby enabling more scalable and robust perception. Wang also pioneered the concept of 3D occupancy prediction with the Occ3D benchmark, a large-scale dataset that pushes beyond traditional 3D bounding boxes to model detailed geometry and semantics, addressing the challenge of out-of-vocabulary objects in robotic perception. Notably, his research extends into soft robotics, where he has worked on coiled polymer artificial muscles capable of dual-mode actuation with large stress generation, demonstrating a rare interdisciplinary breadth. With his work appearing in top venues and accumulating hundreds of citations, Wang is shaping the future of how machines perceive and interact with the physical world.