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20242026
most citedEnd-to-End Autonomous Driving through V2X Cooperation

3 citations · 7 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Have You Seen It Clearly? Uncertainty-Guided Belief Refinement for Zero-Shot Object Navigation

Jingzhi Huang, Junkai Huang, Yuhang Peng +6

Zero-Shot Object Navigation (ZSON) requires an agent to locate target objects in unfamiliar environments without additional training for the test categories or environments. Recent…

cs.RO2025

Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition

Ruiyang Hao, Haibao Yu, Jiaru Zhong +16

With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing dri…

cs.RO2025

Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots

Wei Cui, Haoyu Wang, Wenkang Qin +19

Humanoid robot technology is advancing rapidly, with manufacturers introducing diverse heterogeneous visual perception modules tailored to specific scenarios. Among various percept…

cs.RO2024★ 1 cited

Leveraging Temporal Contexts to Enhance Vehicle-Infrastructure Cooperative Perception

Jiaru Zhong, Haibao Yu, Tianyi Zhu +4

Infrastructure sensors installed at elevated positions offer a broader perception range and encounter fewer occlusions. Integrating both infrastructure and ego-vehicle data through…

cs.RO2024★ 3 cited

End-to-End Autonomous Driving through V2X Cooperation

Haibao Yu, Wenxian Yang, Jiaru Zhong +4

Cooperatively utilizing both ego-vehicle and infrastructure sensor data via V2X communication has emerged as a promising approach for advanced autonomous driving. However, current…