4 papers
V2X-Radar: A Multi-modal Dataset with 4D Radar for Cooperative Perception
Lei Yang, Xinyu Zhang, Jun Li +10
Modern autonomous vehicle perception systems often struggle with occlusions and limited perception range. Previous studies have demonstrated the effectiveness of cooperative percep…
Towards Efficient 3D Object Detection for Vehicle-Infrastructure Collaboration via Risk-Intent Selection
Li Wang, Boqi Li, Hang Chen +5
Vehicle-Infrastructure Collaborative Perception (VICP) is pivotal for resolving occlusion in autonomous driving, yet the trade-off between communication bandwidth and feature redun…
Entropy Loss: An Interpretability Amplifier of 3D Object Detection Network for Intelligent Driving
Haobo Yang, Shiyan Zhang, Zhuoyi Yang +4
With the increasing complexity of the traffic environment, the significance of safety perception in intelligent driving is intensifying. Traditional methods in the field of intelli…
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…