14 citations · 15 across the 4 of their papers we have counts for
4 papers
Risk-Aware Occupancy for Safety-Oriented End-to-End Autonomous Driving
Jiaxing Chen, Hengduo Zou, Yiren Zhao +1
Conventional end-to-end driving systems model the environment with sparse objects and lane elements. While efficient, this paradigm discards planning-critical information in crowde…
Driving on Registers, Reasoning on Risk: Risk-Aware Occupancy for Register-Based End-to-End Autonomous Driving
Jiaxing Chen, Hengduo Zou, YuKai Qin +3
Multimodal trajectory prediction improves behavioral coverage in end-to-end autonomous driving, but existing methods remain limited by sparse scene representations. Incomplete evid…
Risk Occupancy: A New and Efficient Paradigm through Vehicle-Road-Cloud Collaboration
Jiaxing Chen, Wei Zhong, Bolin Gao +6
This paper proposes a novel 4D risk occupancy (RiskOcc) perception paradigm under the Vehicle-Road-Cloud integrated architecture, which unifies object detection and local mapping i…
Boosting Visual Recognition in Real-world Degradations via Unsupervised Feature Enhancement Module with Deep Channel Prior
Zhanwen Liu, Yuhang Li, Yang Wang +3
The environmental perception of autonomous vehicles in normal conditions have achieved considerable success in the past decade. However, various unfavourable conditions such as fog…