most citedRisk Occupancy: A New and Efficient Paradigm through Vehicle-Road-Cloud Collaboration

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT2026

Sum Rate Maximization for Practical RIS-Enhanced Rate-Splitting Multiple Access Systems

Qian Zhang, Xuejun Cheng, Jiaming Shi +3

Reconfigurable intelligent surfaces (RIS) combined with rate-splitting multiple access (RSMA) provide a promising solution for improving the spectral efficiency (SE) of sixth-gener…

cs.AI2026

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…

cs.AI2026

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…

cs.CV2024

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…

cs.RO2024★ 1 cited

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…