5 citations · 9 across the 5 of their papers we have counts for
5 papers
Progressive Bird's Eye View Perception for Safety-Critical Autonomous Driving: A Comprehensive Survey
Yan Gong, Naibang Wang, Jianli Lu +13
Bird's-Eye-View (BEV) perception has become a foundational paradigm in autonomous driving, enabling unified spatial representations that support robust multi-sensor fusion and mult…
S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving
Li Wang, Guangqi Yang, Lei Yang +13
Safety is a long-standing and the final pursuit in the development of autonomous driving systems, with a significant portion of safety challenge arising from perception. How to eff…
Collaborative Perception Datasets for Autonomous Driving: A Review
Naibang Wang, Deyong Shang, Yan Gong +6
Collaborative perception has attracted growing interest from academia and industry due to its potential to enhance perception accuracy, safety, and robustness in autonomous driving…
RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM
Ziying Song, Guoxing Zhang, Lin Liu +5
Multi-modal 3D object detectors are dedicated to exploring secure and reliable perception systems for autonomous driving (AD).Although achieving state-of-the-art (SOTA) performance…
Dual Radar: A Multi-modal Dataset with Dual 4D Radar for Autonomous Driving
Xinyu Zhang, Li Wang, Jian Chen +11
Radar has stronger adaptability in adverse scenarios for autonomous driving environmental perception compared to widely adopted cameras and LiDARs. Compared with commonly used 3D r…