1 citations · 1 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…
Local Map Construction with SDMap: A Comprehensive Survey
Jiaqi Li, Pingfan Jia, Jiaxing Chen +3
Local map construction is a vital component of intelligent driving perception, offering necessary reference for vehicle positioning and planning. Standard Definition map (SDMap), k…
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…