Human-centered feed-forward control of a vehicle steering system based on a driver's steering model. - Wenshuo Wang 001; Junqiang Xi; Junmin Wang 002 (ACC, 2015)

A rapid pattern-recognition method for driving styles using clustering-based support vector machines. - Wenshuo Wang 001; Junqiang Xi (ACC, 2016)

A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines. - Wenshuo Wang 001; Junqiang Xi (CoRR, 2016)

Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation. - Wenshuo Wang 001; Junqiang Xi; Xiaohan Li 002 (CoRR, 2016)

Development and evaluation of two learning-based personalized driver models for car-following behaviors. - Wenshuo Wang 001; Ding Zhao; Junqiang Xi; David J. LeBlanc; J. Karl Hedrick (ACC, 2017)

Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach. - Shun Yang; Wenshuo Wang 001; Chang Liu 002; Weiwen Deng; J. Karl Hedrick (Intelligent Vehicles Symposium, 2017)

Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data. - Ding Zhao; Wenshuo Wang 001; David J. LeBlanc (Intelligent Vehicles Symposium, 2017)

How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior. - Wenshuo Wang 001; Chang Liu 002; Ding Zhao (CoRR, 2017)

Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model. - Wenshuo Wang 001; Ding Zhao (CoRR, 2017)

Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach. - Shun Yang; Wenshuo Wang 001; Chang Liu 002; Kevin Deng; J. Karl Hedrick (CoRR, 2017)

Driving Style Classification Using a Semisupervised Support Vector Machine. - Wenshuo Wang 001; Junqiang Xi; Alexandre Chong; Lin Li 036 (IEEE Trans. Hum. Mach. Syst., 2017)

Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics. - Wenshuo Wang 001; Junqiang Xi; Chang Liu 002; Xiaohan Li 002 (IEEE Trans. Intell. Transp. Syst., 2017)

How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior. - Wenshuo Wang 001; Chang Liu 002; Ding Zhao (IEEE Trans. Intell. Veh., 2017)

Evaluation of Lane Departure Correction Systems Using a Regenerative Stochastic Driver Model. - Wenshuo Wang 001; Ding Zhao (IEEE Trans. Intell. Veh., 2017)

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. - Jiacheng Zhu; Wenshuo Wang 001; Ding Zhao (ITSC, 2018)

Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis. - Chao Lu 006; Fengqing Hu; Wenshuo Wang 001; Jianwei Gong; Zeliang Ding (Intelligent Vehicles Symposium, 2018)

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning. - Sisi Li; Wenshuo Wang 001; Zhaobin Mo; Ding Zhao (Intelligent Vehicles Symposium, 2018)

Influence Analysis of Autonomous Cars' Cut-In Behavior on Human Drivers in a Driving Simulator. - Chunqing Zhao; Shaopeng Li; Fenggang Liu; Wenshuo Wang 001; Jianwei Gong (Intelligent Vehicles Symposium, 2018)

Clustering of Naturalistic Driving Encounters Using Unsupervised Learning. - Sisi Li; Wenshuo Wang 001; Zhaobin Mo; Ding Zhao (CoRR, 2018)

An Optimal LiDAR Configuration Approach for Self-Driving Cars. - Shenyu Mou; Yan Chang; Wenshuo Wang 001; Ding Zhao (CoRR, 2018)

Clustering of Driving Scenarios Using Connected Vehicle Datasets. - Wenshuo Wang 001; Aditya Ramesh; Ding Zhao (CoRR, 2018)

Understanding V2V Driving Scenarios through Traffic Primitives. - Wenshuo Wang 001; Weiyang Zhang; Ding Zhao (CoRR, 2018)

Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. - Wenhao Ding; Wenshuo Wang 001; Ding Zhao (CoRR, 2018)

Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications. - Wenshuo Wang 001; Ding Zhao (IEEE Robotics Autom. Lett., 2018)

Learning and Inferring a Driver's Braking Action in Car-Following Scenarios. - Wenshuo Wang 001; Junqiang Xi; Ding Zhao (IEEE Trans. Veh. Technol., 2018)

A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model. - Wenshuo Wang 001; Ding Zhao; Wei Han 005; Junqiang Xi (IEEE Trans. Veh. Technol., 2018)

Driving-Style-Oriented Adaptive Equivalent Consumption Minimization Strategies for HEVs. - Sen Yang; Wenshuo Wang 001; Fengqi Zhang; Yuhui Hu; Junqiang Xi (IEEE Trans. Veh. Technol., 2018)

Driver Drowsiness Detection through a Vehicle's Active Probe Action. - Sen Yang; Junqiang Xi; Wenshuo Wang 001 (CAVS, 2019)

A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. - Wenhao Ding; Wenshuo Wang 001; Ding Zhao (ICRA, 2019)

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. - Yaohui Guo; Vinay Varma Kalidindi; Mansur Arief; Wenshuo Wang 001; Jiacheng Zhu; Huei Peng; Ding Zhao (ITSC, 2019)

A General Framework of Learning Multi-Vehicle Interaction Patterns from Video. - Chengyuan Zhang 002; Jiacheng Zhu; Wenshuo Wang 001; Ding Zhao (ITSC, 2019)

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos. - Chengyuan Zhang 002; Jiacheng Zhu; Wenshuo Wang 001; Ding Zhao (CoRR, 2019)

Active Learning for Risk-Sensitive Inverse Reinforcement Learning. - Rui Chen 030; Wenshuo Wang 001; Zirui Zhao; Ding Zhao (CoRR, 2019)

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. - Weiyang Zhang; Wenshuo Wang 001; Ding Zhao (CoRR, 2019)

Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process. - Jiacheng Zhu; Shenghao Qin; Wenshuo Wang 001; Ding Zhao (CoRR, 2019)

Recurrent Attentive Neural Process for Sequential Data. - Shenghao Qin; Jiacheng Zhu; Jimmy Qin; Wenshuo Wang 001; Ding Zhao (CoRR, 2019)

A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior. - Sen Yang; Wenshuo Wang 001; Chao Lu 006; Jianwei Gong; Junqiang Xi (IEEE Trans. Hum. Mach. Syst., 2019)

Estimating Driver's Lane-Change Intent Considering Driving Style and Contextual Traffic. - Xiaohan Li 002; Wenshuo Wang 001; Matthias Roetting (IEEE Trans. Intell. Transp. Syst., 2019)

Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches. - Wenshuo Wang 001; Junqiang Xi; Ding Zhao (IEEE Trans. Intell. Transp. Syst., 2019)

Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles. - Shun Yang; Wenshuo Wang 001; Chang Liu 002; Weiwen Deng (IEEE Trans. Syst. Man Cybern. Syst., 2019)

A Learning-Based Personalized Driver Model Using Bounded Generalized Gaussian Mixture Models. - Wenshuo Wang 001; Junqiang Xi; J. Karl Hedrick (IEEE Trans. Veh. Technol., 2019)

Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields. - Wenshuo Wang 001; Chengyuan Zhang 002; Pin Wang; Ching-Yao Chan (IV, 2020)

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. - Weiyang Zhang; Wenshuo Wang 001; Jiacheng Zhu; Ding Zhao (IV, 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)

Decision-making in driver-automation shared control: A review and perspectives. - Wenshuo Wang 001; Xiaoxiang Na; Dongpu Cao; Jianwei Gong; Junqiang Xi; Yang Xing 002; Fei-Yue Wang 001 (IEEE CAA J. Autom. Sinica, 2020)

Influence of Cut-In Maneuvers for an Autonomous Car on Surrounding Drivers: Experiment and Analysis. - Chunqing Zhao; Wenshuo Wang 001; Shaopeng Li; Jianwei Gong (IEEE Trans. Intell. Transp. Syst., 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)

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories. - Wenshuo Wang 001; Aditya Ramesh; Jiacheng Zhu; Jie Li; Ding Zhao (IEEE Trans. Intell. Veh., 2020)

Urban Digital Twins for Intelligent Road Inspection. - Rui Fan 001; Yikang Zhang; Sicen Guo; Jiahang Li 001; Yi Feng; Shuai Su; Yanting Zhang 001; Wenshuo Wang 001; Yu Jiang 003; Mohammud Junaid Bocus; Xingyi Zhu; Qijun Chen (IEEE Big Data, 2022)

Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms. - Nachuan Ma; Jiahe Fan; Wenshuo Wang 001; Jin Wu 002; Yu Jiang 003; Lihua Xie 001; Rui Fan 001 (CoRR, 2022)

Social Interactions for Autonomous Driving: A Review and Perspective. - Wenshuo Wang 001; Letian Wang; Chengyuan Zhang 002; Changliu Liu; Lijun Sun 001 (CoRR, 2022)

Social Interactions for Autonomous Driving: A Review and Perspectives. - Wenshuo Wang 001; Letian Wang; Chengyuan Zhang 002; Changliu Liu; Lijun Sun 001 (Found. Trends Robotics, 2022)

Uncovering Interpretable Internal States of Merging Tasks at Highway on-Ramps for Autonomous Driving Decision-Making. - Huanjie Wang; Wenshuo Wang 001; Shihua Yuan; Xueyuan Li (IEEE Trans Autom. Sci. Eng., 2022)

Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains. - Chao Lu 006; Chen Lv 001; Jianwei Gong; Wenshuo Wang 001; Dongpu Cao; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2022)

On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic. - Huanjie Wang; Wenshuo Wang 001; Shihua Yuan; Xueyuan Li; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Understanding V2V Driving Scenarios Through Traffic Primitives. - Wenshuo Wang 001; Weiyang Zhang; Jiacheng Zhu; Ding Zhao (IEEE Trans. Intell. Transp. Syst., 2022)

Leveraging Human Driving Preferences to Predict Vehicle Speed. - Sen Yang; Wenshuo Wang 001; Junqiang Xi (IEEE Trans. Intell. Transp. Syst., 2022)

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. - Chengyuan Zhang 002; Jiacheng Zhu; Wenshuo Wang 001; Junqiang Xi (IEEE Trans. Intell. Transp. Syst., 2022)

Scene-insensitive Driving Style Recognition using CAN Signals based on Factor Analysis. - Chaopeng Zhang; Wenshuo Wang 001; Jian Zhang; Zhiyang Ju; Zhaokun Chen; Junqiang Xi (ICPS, 2023)

Interactive Car-Following: Matters but NOT Always. - Chengyuan Zhang 002; Rui Chen 030; Jiacheng Zhu; Wenshuo Wang 001; Changliu Liu; Lijun Sun 001 (ITSC, 2023)

TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles. - Yuxiong Ji; Lantao Ni; Cong Zhao; Cailin Lei; Yuchuan Du; Wenshuo Wang 001 (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)

100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems. - Chaopeng Zhang; Wenshuo Wang 001; Zhaokun Chen; Junqiang Xi (IV, 2024)

MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System. - Xiangcheng Hu; Jin Wu 002; Jianhao Jiao; Binqian Jiang; Wei Zhang 012; Wenshuo Wang 001; Ping Tan 002 (CoRR, 2024)

On Trustworthy Decision-Making Process of Human Drivers From the View of Perceptual Uncertainty Reduction. - Huanjie Wang; Haibin Liu; Wenshuo Wang 001; Lijun Sun 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model. - Chaopeng Zhang; Wenshuo Wang 001; Zhaokun Chen; Jian Zhang; Lijun Sun 001; Junqiang Xi (IEEE Trans. Intell. Transp. Syst., 2024)

An Embedded Driving Style Recognition Approach: Leveraging Knowledge in Learning. - Chaopeng Zhang; Wenshuo Wang 001; Zhiyang Ju; Zhaokun Chen; Gentiane Venture; Junqiang Xi (IEEE Trans. Intell. Veh., 2024)

Hierarchical Trajectory Planning Based on Adaptive Motion Primitives and Bilevel Corridor. - Shihao Li; Wenshuo Wang 001; Boyang Wang 002; Haijie Guan; Haiou Liu; Shaobin Wu; Huiyan Chen (IEEE Trans. Veh. Technol., 2024)

A Survey of Multi-Vehicle Consensus in Uncertain Networks for Autonomous Driving. - Duanfeng Chu; Chenyang Zhao 004; Rukang Wang; Qiang Xiao 003; Wenshuo Wang 001; Dongpu Cao (IEEE Trans. Intell. Transp. Syst., 2024)

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception. - Wenzhuo Liu; Wenshuo Wang 001; Yicheng Qiao; Qiannan Guo; Jiayin Zhu; Pengfei Li; Zilong Chen; Huiming Yang; Zhiwei Li; Lening Wang; Tiao Tan; Huaping Liu 001 (CoRR, 2025)

Technical Factors Matter for Driving Behavior Analysis: Experiment and Validation. - Yao Wei; Wenshuo Wang 001; Chaopeng Zhang; Junqiang Xi (IEEE Trans. Intell. Veh., 2025)

Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language Models. - Zhaokun Chen; Chaopeng Zhang; Xiaohan Li 002; Wenshuo Wang 001; Gentiane Venture; Junqiang Xi (CoRR, 2025)

The Effects of Communication Delay on Human Performance and Neurocognitive Responses in Mobile Robot Teleoperation. - Zhaokun Chen; Wenshuo Wang 001; Wenzhuo Liu; Yichen Liu; Junqiang Xi (CoRR, 2025)

Clustering Strategy for Megaconstellation With Synergistic Energy and Size Considerations. - Chengxi Zhang; Tianle Yin; Wenshuo Wang 001; Jin Wu 002; Jihe Wang; Yuhua Qi; Wei He 001 (IEEE Trans. Aerosp. Electron. Syst., 2025)

UMD-Net: A Unified Multi-Task Assistive Driving Network Based on Multimodal Fusion. - Wenzhuo Liu; Yicheng Qiao; Zhiwei Li; Wenshuo Wang 001; Wei Zhang 012; Jiayin Zhu; Yanhuan Jiang; Li Wang 092; Hong Wang 014; Huaping Liu 001; Kunfeng Wang (IEEE Trans. Intell. Transp. Syst., 2025)

Robust and High-Precision Point Cloud Registration Method Based on 3D-NDT Algorithm for Vehicle Localization. - Huanjie Wang; Yanglei Tang; Jiyuan Hu; Haibin Liu; Weida Wang; Chao Wei; Chuan Hu 003; Wenshuo Wang 001 (IEEE Trans. Veh. Technol., 2025)

A glance over the past decade: road scene parsing towards safe and comfortable autonomous driving. - Rui Fan 001; Jiahang Li 001; Jiaqi Li; Jiale Wang; Ziwei Long; Ning Jia; Yanan Liu; Wenshuo Wang 001; Mohammud Junaid Bocus; Sergey Vityazev; Xieyuanli Chen; Junhao Xiao 001; et al. (Auton. Intell. Syst., 2025)