A Novel Framework for Road Traffic Risk Assessment with HMM-Based Prediction Model. - Xunjia Zheng; Di Zhang; Hongbo Gao 001; Zhiguo Zhao; Heye Huang; Jianqiang Wang 003 (Sensors, 2018)

Objective and Subjective Analysis to Quantify Influence Factors of Driving Risk. - Heye Huang; Yang Li 093; Xunjia Zheng; Jianqiang Wang 003; Qing Xu 010; Sifa Zheng (ITSC, 2019)

An Integrated Approach to Probabilistic Vehicle Trajectory Prediction via Driver Characteristic and Intention Estimation. - Jinxin Liu; Yugong Luo; Hui Xiong 006; Tinghan Wang; Heye Huang; Zhihua Zhong (ITSC, 2019)

Probabilistic Long-term Vehicle Trajectory Prediction via Driver Awareness Model. - Jinxin Liu; Hui Xiong 006; Heye Huang; Yugong Luo; Zhihua Zhong; Keqiang Li (IV, 2020)

A probabilistic risk assessment framework considering lane-changing behavior interaction. - Heye Huang; Jianqiang Wang 003; Cong Fei; Xunjia Zheng; Yibin Yang; Jinxin Liu; Xiangbin Wu; Qing Xu 010 (Sci. China Inf. Sci., 2020)

Behavioral decision-making model of the intelligent vehicle based on driving risk assessment. - Xunjia Zheng; Heye Huang; Jianqiang Wang 003; Xiaocong Zhao; Qing Xu 010 (Comput. Aided Civ. Infrastructure Eng., 2021)

Probabilistic vehicle trajectory prediction via driver characteristic and intention estimation model under uncertainty. - Jinxin Liu; Hui Xiong 006; Tinghan Wang; Heye Huang; Zhihua Zhong; Yugong Luo (Ind. Robot, 2021)

Driver-automation collaborative steering control for intelligent vehicles under unexpected emergency conditions. - Lu Yang; Ke Liu; Heye Huang; Qiaobin Liu; Ming Gao; Jianqiang Wang 003 (IV, 2022)

Driving risk-aversive motion planning in off-road environment. - Hongqing Tian; Boqi Li 001; Heye Huang; Ling Han (Expert Syst. Appl., 2023)

Attention-based Priority Learning for Limited Time Multi-Agent Path Finding. - Yibin Yang; Mingfeng Fan; Chengyang He; Jianqiang Wang 003; Heye Huang; Guillaume Sartoretti (AAMAS, 2024)

DTP-M3Net: Monocular Multiclass Multistage Vulnerable Road User Detection, Tracking and Prediction for Autonomous Driving. - Hui Xiong 006; Fang Zhang 002; Xuzhi Fang; Heye Huang; Quan Yuan; Qinggui Pan; Dezhao Zhang (ITSC, 2024)

Deception for Advantage in Connected and Automated Vehicle Decision-Making Games*. - Hangyu Li; Heye Huang; Xiaotong Sun; Xiaopeng Li (IV, 2024)

Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control. - Hang Zhou; Heye Huang; Peng Zhang; Haotian Shi; Keke Long; Xiaopeng Li (IV, 2024)

On-Road Trajectory Planning of Connected and Automated Vehicles in Complex Traffic Settings: A Hierarchical Framework of Trajectory Refinement. - Fuzhou Zhao; Ling Han; Mingyang Cui; Heye Huang; Shan Zhong; Feifei Su; Lei Wang (IEEE Access, 2024)

Autonomous vehicle extreme control for emergency collision avoidance via Reachability-Guided reinforcement learning. - Shiyue Zhao; Junzhi Zhang; Chengkun He; Yuan Ji; Heye Huang; Xiaohui Hou (Adv. Eng. Informatics, 2024)

Adaptive Decision-Making for Autonomous Vehicles: A Learning-Enhanced Game-Theoretic Approach in Interactive Environments. - Heye Huang; Jinxin Liu; Guanya Shi; Shiyue Zhao; Boqi Li 001; Jianqiang Wang 003 (CoRR, 2024)

CSDO: Enhancing Efficiency and Success in Large-Scale Multi-Vehicle Trajectory Planning. - Yibin Yang; Shaobing Xu; Xintao Yan; Junkai Jiang; Jian-Qiang Wang 003; Heye Huang (CoRR, 2024)

High-Speed Cornering Control and Real-Vehicle Deployment for Autonomous Electric Vehicles. - Shiyue Zhao; Junzhi Zhang; Neda Masoud; Yuhong Jiang; Heye Huang; Tao Liu (CoRR, 2024)

SafeDrive: Knowledge- and Data-Driven Risk-Sensitive Decision-Making for Autonomous Vehicles with Large Language Models. - Zhiyuan Zhou; Heye Huang; Boqi Li 001; Shiyue Zhao; Yao Mu 001; Jian-Qiang Wang 003 (CoRR, 2024)

Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning. - Peng Zhang; Heye Huang; Hang Zhou; Haotian Shi; Keke Long; Xiaopeng Li (CoRR, 2024)

Adaptive Drift Control of Autonomous Electric Vehicles After Brake System Failures. - Shiyue Zhao; Junzhi Zhang; Chengkun He; Xiaohui Hou; Heye Huang (IEEE Trans. Ind. Electron., 2024)

A Harmonized Approach: Beyond-the-Limit Control for Autonomous Vehicles Balancing Performance and Safety in Unpredictable Environments. - Shiyue Zhao; Junzhi Zhang; Xiaoxia He; Chengkun He; Xiaohui Hou; Heye Huang; Jinheng Han (IEEE Trans. Intell. Transp. Syst., 2024)

Safer Conflict-Based Search: Risk-Constrained Optimal Pathfinding for Multiple Connected and Automated Vehicles. - Yicong Liu; Heye Huang; Qing Xu 010; Shaobing Xu; Jian-qiang Wang 003 (IEEE Trans Autom. Sci. Eng., 2025)

InVDriver: Intra-Instance Aware Vectorized Query-Based Autonomous Driving Transformer. - Bo Zhang; Heye Huang; Chunyang Liu; Yaqin Zhang; Zhenhua Xu (CoRR, 2025)

Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective. - Heye Huang; Zheng Li; Hao Cheng; Haoran Wang; Junkai Jiang; Xiaopeng Li; Arkady Zgonnikov (CoRR, 2025)

SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning. - Shiyue Zhao; Junzhi Zhang; Neda Masoud; Heye Huang; Xingpeng Xia; Chengkun He (CoRR, 2025)

RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios. - Qichao Liu; Heye Huang; Shiyue Zhao; Lei Shi; Soyoung Ahn; Xiaopeng Li (CoRR, 2025)

REACT: Runtime-Enabled Active Collision-avoidance Technique for Autonomous Driving. - Heye Huang; Hao Cheng; Zhiyuan Zhou; Zijin Wang; Qichao Liu; Xiaopeng Li (CoRR, 2025)

LEAD: Learning-Enhanced Adaptive Decision-Making for Autonomous Driving in Dynamic Environments. - Heye Huang; Jinxin Liu; Bo Zhang; Shiyue Zhao; Boqi Li 001; Jianqiang Wang 003 (IEEE Trans. Intell. Transp. Syst., 2025)