activity
20242026
collaborators

11 papers

cs.RO2026

High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles

Zhaohui Liang, Hang Zhou, Heye Huanh +1

Accurate estimation of the tire-road friction coefficient (TRFC) is critical for ensuring safe vehicle control, especially under adverse road conditions. However, most existing met…

cs.RO2026

Developing Fundamental Diagrams for Urban Air Mobility Traffic Based on Physical Experiments

Hang Zhou, Yuhui Zhai, Shiyu Shen +3

Urban Air Mobility (UAM) is an emerging application of unmanned aerial vehicles that promises to reduce travel time and alleviate congestion in urban transportation systems. As dro…

eess.SY2025

Real-Time Lane-Level Crash Detection on Freeways Using Sparse Telematics Data

Shixiao Liang, Chengyuan Ma, Pei Li +7

Real-time traffic crash detection is critical in intelligent transportation systems because traditional crash notifications often suffer delays and lack specific, lane-level locati…

cs.AI2025

SRA-CP: Spontaneous Risk-Aware Selective Cooperative Perception

Jiaxi Liu, Chengyuan Ma, Hang Zhou +5

Cooperative perception (CP) offers significant potential to overcome the limitations of single-vehicle sensing by enabling information sharing among connected vehicles (CVs). Howev…

cs.CV2025

CATS-V2V: A Real-World Vehicle-to-Vehicle Cooperative Perception Dataset with Complex Adverse Traffic Scenarios

Hangyu Li, Bofeng Cao, Zhaohui Liang +16

Vehicle-to-Vehicle (V2V) cooperative perception has great potential to enhance autonomous driving performance by overcoming perception limitations in complex adverse traffic scenar…

eess.SY2025

Unveiling Uniform Shifted Power Law in Stochastic Human and Autonomous Driving Behavior

Wang Chen, Heye Huang, Ke Ma +4

Accurately simulating rare but safety-critical driving behaviors is essential for the evaluation and certification of autonomous vehicles (AVs). However, current models often fail…