collaborators

5 papers

cs.HC2026

Human-Machine Bidirectional Trust-Aware Analysis and Design for Human-Led Truck Platooning

Chenzhao Li, Yunzhijun Yu, Yukun Lu

Human-led truck platooning, where a human-driven truck leads one or more autonomous followers, offers significant benefits in fuel efficiency, safety, and traffic flow. However, it…

cs.RO2026

A Scaled Three-Vehicle Platooning Platform

Kaiyue Lu, Qiaoxuan Zhang, Yukun Lu

Vehicle platooning has attracted increasing attention as a promising approach to improve traffic efficiency, energy consumption, and roadway safety through coordinated multi-vehicl…

cs.RO2026

CoInfra: A Large-Scale Cooperative Infrastructure Perception System and Dataset for Vehicle-Infrastructure Cooperation in Adverse Weather

Minghao Ning, Yufeng Yang, Keqi Shu +10

Vehicle-infrastructure (V2I) cooperative perception can substantially extend the range, coverage, and robustness of autonomous driving systems beyond the limits of onboard-only sen…

cs.RO2026

Rationale Behind Human-Led Autonomous Truck Platooning

Yukun Lu, Chenzhao Li, Xintong Jiang +1

Autonomous trucking has progressed rapidly in recent years, transitioning from early demonstrations to OEM-integrated commercial deployments. However, fully driverless freight oper…

cs.RO2025

DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models

Shucheng Huang, Freda Shi, Chen Sun +6

Human drivers possess spatial and causal intelligence, enabling them to perceive driving scenarios, anticipate hazards, and react to dynamic environments. In contrast, autonomous v…