Game-Theoretic Modeling of the Steering Interaction Between a Human Driver and a Vehicle Collision Avoidance Controller. - Xiaoxiang Na; David J. Cole (IEEE Trans. Hum. Mach. Syst., 2015)

Game-theoretic modelling of shared steering control between driver and AFS considering different human-machine goal consistency. - Xuewu Ji; Yulong Liu; Yahui Liu; Biao Ma; Jian Wu; Xiaoxiang Na (IECON, 2017)

Application of Open-Loop Stackelberg Equilibrium to Modeling a Driver's Interaction with Vehicle Active Steering Control in Obstacle Avoidance. - Xiaoxiang Na; David J. Cole (IEEE Trans. Hum. Mach. Syst., 2017)

Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition. - Yang Xing; Chen Lv; Zhaozhong Zhang; Huaji Wang; Xiaoxiang Na; Dongpu Cao; Efstathios Velenis; Fei-Yue Wang 001 (IEEE Trans. Comput. Soc. Syst., 2018)

Levenberg-Marquardt Backpropagation Training of Multilayer Neural Networks for State Estimation of a Safety-Critical Cyber-Physical System. - Chen Lv; Yang Xing; Junzhi Zhang; Xiaoxiang Na; Yutong Li 002; Teng Liu; Dongpu Cao; Fei-Yue Wang 001 (IEEE Trans. Ind. Informatics, 2018)

Interactive Control Paradigm-Based Robust Lateral Stability Controller Design for Autonomous Automobile Path Tracking With Uncertain Disturbance: A Dynamic Game Approach. - Xuewu Ji; Yulong Liu; Xiangkun He; Kaiming Yang; Xiaoxiang Na; Chen Lv; Yahui Liu (IEEE Trans. Veh. Technol., 2018)

Modelling of a human driver' s interaction with vehicle automated steering using cooperative game theory. - Xiaoxiang Na; David J. Cole (IEEE CAA J. Autom. Sinica, 2019)

A shared steering controller design based on steer-by-wire system considering human-machine goal consistency. - Biao Ma; Yulong Liu; Xiaoxiang Na; Yahui Liu; Yiyong Yang (J. Frankl. Inst., 2019)

Shared Steering Torque Control for Lane Change Assistance: A Stochastic Game-Theoretic Approach. - Xuewu Ji; Kaiming Yang; Xiaoxiang Na; Chen Lv; Yahui Liu (IEEE Trans. Ind. Electron., 2019)

Short-term Traffic Prediction with Deep Neural Networks and Adaptive Transfer Learning. - Junyi Li; Fangce Guo; Yibing Wang; Lihui Zhang; Xiaoxiang Na; Simon Hu 001 (ITSC, 2020)

Research on a Novel Vehicle Rollover Risk Warning Algorithm Based on Support Vector Machine Model. - Tianjun Zhu; Xiaoxuan Yin; Xiaoxiang Na; Bin Li (IEEE Access, 2020)

Decision-Making in Driver-Automation Shared Control: A Review and Perspectives. - Wenshuo Wang 001; Xiaoxiang Na; Dongpu Cao; Jianwei Gong; Junqiang Xi; Yang Xi; Fei-Yue Wang 001 (CoRR, 2020)

Effect of a traffic speed based cruise control on an electric vehicle s performance and an energy consumption model of an electric vehicle. - Anil Kunnappillil Madhusudhanan; Xiaoxiang Na (IEEE CAA J. Autom. Sinica, 2020)

Decision-making in driver-automation shared control: A review and perspectives. - Wenshuo Wang 001; Xiaoxiang Na; Dongpu Cao; Jianwei Gong; Junqiang Xi; Yang Xing; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2020)

An Automated Machine-Learning Approach for Road Pothole Detection Using Smartphone Sensor Data. - Chao Wu 001; Zhen Wang; Simon Hu 001; Julien Lepine; Xiaoxiang Na; Daniel Ainalis; Marc Stettler (Sensors, 2020)

A Probabilistic Approach to Measuring Driving Behavior Similarity With Driving Primitives. - Wenshuo Wang 001; Wei Han 005; Xiaoxiang Na; Jianwei Gong; Junqiang Xi (IEEE Trans. Intell. Veh., 2020)

Theoretical and experimental investigation of driver noncooperative-game steering control behavior. - Xiaoxiang Na; David J. Cole (IEEE CAA J. Autom. Sinica, 2021)

Robust Fault Estimation of Vehicular Yaw Rate Sensor Using a Type-2 Fuzzy Approach. - Yue Liu; Rui Chen; Xiaoxiang Na; Yugong Luo; Hui Zhang 019 (IEEE Trans. Ind. Electron., 2021)

Modeling Freight-Sharing Platform Operations for Optimal Compensation Strategy Using Markov Decision Processes. - Siqi Shu; Zhengqi Chen; Zhe Yu 001; Shaosheng Cao; Guobin Wu 001; Donghai Shi; Gaoang Wang; Zuozhu Liu; Xiqun Chen; Xiaoxiang Na; Chao Wu 001; Simon Hu 001 (ITSC, 2022)

Parallel Sensing in Metaverses: Virtual-Real Interactive Smart Systems for "6S" Sensing. - Yu Shen; Yuhang Liu; Yonglin Tian; Xiaoxiang Na (IEEE CAA J. Autom. Sinica, 2022)

Computational Efficient Motion Planning Method for Automated Vehicles Considering Dynamic Obstacle Avoidance and Traffic Interaction. - Yuxiang Zhang 004; Jiachen Wang; Jidong Lv; Bingzhao Gao; Hongqing Chu; Xiaoxiang Na (Sensors, 2022)

Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications. - Hongbo Gao 001; Ming Liu 001; Fei Chen 007; Xiaoxiang Na; Ding Zhao; Jingtao Wang; Linghe Kong; Keqiang Li; Chun-Yi Su (IEEE Trans Autom. Sci. Eng., 2022)

Future Directions of Intelligent Vehicles: Potentials, Possibilities, and Perspectives. - Dongpu Cao; Xiao Wang 002; Lingxi Li 001; Chen Lv; Xiaoxiang Na; Yang Xing; Xuan Li 006; Ying Li 036; Yuanyuan Chen; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2022)

Bi-Level Programming Approach for Optimal Charging Station Location and Traffic Assignment in Electric Autonomous Vehicle Systems. - Run Hu; Zheyi Tang; Qinru Hu; Xiaoxiang Na; Panagiotis Angeloudis; Der-Horng Lee; Simon Hu 001 (ITSC, 2023)

Steps Toward Industry 5.0: Building "6S" Parallel Industries With Cyber-Physical-Social Intelligence. - Xingxia Wang; Jing Yang 044; Yutong Wang 001; Qinghai Miao; Fei-Yue Wang 001; Aijun Zhao; Jianling Deng; Lingxi Li 001; Xiaoxiang Na; Ljubo B. Vlacic (IEEE CAA J. Autom. Sinica, 2023)

Center for Sustainable Road Freight [ITS Research Lab]. - Xiaoxiang Na; Yisheng Lv (IEEE Intell. Transp. Syst. Mag., 2023)

Experimental Evaluation of a Game-Theoretic Human Driver Steering Control Model. - Xiaoxiang Na; David J. Cole (IEEE Trans. Cybern., 2023)

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys. - Long Chen 005; Yuchen Li 004; Chao Huang 006; Bai Li 002; Yang Xing; Daxin Tian; Li Li 013; Zhongxu Hu; Xiaoxiang Na; Zixuan Li; Siyu Teng; Chen Lv; et al. (IEEE Trans. Intell. Veh., 2023)

Engine Fuel Consumption Modelling Using Prediction Error Identification and On-Road Data. - Anil Kunnappillil Madhusudhanan; Xiaoxiang Na; Daniel Ainalis; David Cebon (IEEE Trans. Intell. Veh., 2023)

Chat With ChatGPT on Intelligent Vehicles: An IEEE TIV Perspective. - Haiping Du; Siyu Teng; Hong Chen 003; Jiaqi Ma 003; Xiao Wang 002; Chao Gou; Bai Li 002; Siji Ma; Qinghai Miao; Xiaoxiang Na; Peijun Ye 001; Hui Zhang 091; et al. (IEEE Trans. Intell. Veh., 2023)

Advanced Scenario Generation for Calibration and Verification of Autonomous Vehicles. - Xuan Li 006; Siyu Teng; Bingzi Liu; Xingyuan Dai; Xiaoxiang Na; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

Mobility 5.0: Smart Logistics and Transportation Services in Cyber-Physical-Social Systems. - Yilun Lin 002; Xiaoxiang Na; Ding Wang 001; Xingyuan Dai; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2023)

Emerging Trends in Intelligent Vehicles: The IEEE TIV Perspective. - Hui Zhang 091; Junbo Guo; Guiyang Luo; Lingxi Li 001; Xiaoxiang Na; Xiao Wang 002; Siyu Teng; Siji Ma; Yidong Li (IEEE Trans. Intell. Veh., 2023)

Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems. - Fei-Yue Wang 001; Yilun Lin 002; Petros A. Ioannou; Ljubo B. Vlacic; Xiaoming Liu; Azim Eskandarian; Yisheng Lv; Xiaoxiang Na; David Cebon; Jiaqi Ma 003; Lingxi Li 001; Cristina Olaverri-Monreal (IEEE Trans. Intell. Transp. Syst., 2023)

Milestones in Autonomous Driving and Intelligent Vehicles - Part II: Perception and Planning. - Long Chen 005; Siyu Teng; Bai Li 002; Xiaoxiang Na; Yuchen Li 004; Zixuan Li; Jinjun Wang; Dongpu Cao; Nanning Zheng 001; Fei-Yue Wang 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Interactive Decision-Making With Switchable Game Modes for Automated Vehicles at Intersections. - Shizheng Jia; Yuxiang Zhang 004; Xin Li; Xiaoxiang Na; Yuhai Wang; Bingzhao Gao; Bing Zhu 006; Rongjie Yu (IEEE Trans. Intell. Transp. Syst., 2023)

A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives. - Hongqing Chu; Hejian Zhuang; Wenshuo Wang 001; Xiaoxiang Na; Lulu Guo; Jia Zhang; Bingzhao Gao; Hong Chen 003 (IEEE Trans. Intell. Veh., 2023)

Learning-Based Predictive Cruise Control for Fuel Consumption Model in Heavy-Duty Trucks. - Yuan Gao; Kai Sun; Jinlong Hong; Xiaoxiang Na; Bingzhao Gao; Hong Chen 003 (ITSC, 2024)

INTP-DM: Intention-Aware Multimodal Vehicle Trajectory Prediction Using Diffusion Model. - Yuanbo Yang; Sheng Jin 001; Xiaoxiang Na; Panagiotis Angeloudis; Simon Hu 001 (ITSC, 2024)

Timescale Graph-Parallel Computation and Mechanism Analysis of Economical Predictive Driving for Commercial Trucks. - Jinlong Hong; Lulu Guo; Xiaoxiang Na; Xianning Li; Hongqing Chu; Bingzhao Gao; Hong Chen 003 (IV, 2024)

Enhanced Multimodal Trajectory Prediction for Autonomous Vehicles Using Advanced Diffusion Model Techniques. - Song Lian; Bin Zhou; Simon Hu 001; Jianghan Hu; Gaoang Wang; José Escribano; Xiaoxiang Na; Sheng Jin 001 (IV, 2024)

How to Guarantee Driving Safety for Autonomous Vehicles in a Real-World Environment: A Perspective on Self-Evolution Mechanisms. - Shuo Yang; Yanjun Huang; Li Li 013; Shuo Feng 002; Xiaoxiang Na; Hong Chen 003; Amir Khajepour (IEEE Intell. Transp. Syst. Mag., 2024)

Advanced Air Mobility: An Innovation for Future Diversified Transportation and Society. - Jingqiu Guo; Long Chen 005; Lingxi Li 001; Xiaoxiang Na; Ljubo B. Vlacic; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Energy-Saving Driving Assistance System Integrated With Predictive Cruise Control for Electric Vehicles. - Jinlong Hong; Xi Luo; Hao Wu; Xiaoxiang Na; Hongqing Chu; Bingzhao Gao; Hong Chen 003 (IEEE Trans. Intell. Veh., 2024)

LLM-Based Operating Systems for Automated Vehicles: A New Perspective. - Jingwei Ge; Cheng Chang; Jiawei Zhang; Lingxi Li 001; Xiaoxiang Na; Yilun Lin 002; Li Li 013; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Exploring the Economic Feasibility of Advanced Air Mobility in the Early Stages. - Jingqiu Guo; Long Chen 005; Lingxi Li 001; Xiaoxiang Na; Ljubo B. Vlacic; Fei-Yue Wang 001 (IEEE Trans. Intell. Veh., 2024)

Identifying Critical Links in Urban Transportation Networks Based on Spatio-Temporal Dependency Learning. - Xinlong Huang; Simon Hu 001; Wei Wang 077; Ioannis Kaparias; Shaopeng Zhong; Xiaoxiang Na; Michael G. H. Bell; Der-Horng Lee (IEEE Trans. Intell. Transp. Syst., 2024)

Automation 5.0: The Key to Systems Intelligence and Industry 5.0. - Ljubo B. Vlacic; Hailong Huang 001; Mariagrazia Dotoli; Yutong Wang 001; Petros A. Ioannou; Lili Fan; Xingxia Wang; Raffaele Carli; Chen Lv; Lingxi Li 001; Xiaoxiang Na; Qing-Long Han; et al. (IEEE CAA J. Autom. Sinica, 2024)

Cooperative Decision-Making for CAVs at Unsignalized Intersections: A MARL Approach With Attention and Hierarchical Game Priors. - Jiaqi Liu; Peng Hang; Xiaoxiang Na; Chao Huang 006; Jian Sun 010 (IEEE Trans. Intell. Transp. Syst., 2025)

Transit Signal Priority Strategy With Heterogeneous Graph-Based Deep Reinforcement Learning for Autonomous Public Transit Vehicles. - Bin Zhou; Simon Hu 001; Yuanbo Yang; Xiaoxiang Na; José Escribano; Dongfang Ma; Sheng Jin 001; Bugao Zhang; Der-Horng Lee (IEEE Trans. Intell. Veh., 2025)