Wenshuo Wang

According to our database, Wenshuo Wang authored at least 74 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A glance over the past decade: road scene parsing towards safe and comfortable autonomous driving.

Rui Fan, Jiahang Li, Jiaqi Li, Jiale Wang, Ziwei Long, Ning Jia, Yanan Liu, Wenshuo Wang, Mohammud Junaid Bocus, Sergey Vityazev, Xieyuanli Chen, Junhao Xiao, Stepan Andreev, Huimin Lu, Alexander V. Dvorkovich

Auton. Intell. Syst., December, 2025

UMD-Net: A Unified Multi-Task Assistive Driving Network Based on Multimodal Fusion.

Wenzhuo Liu, Yicheng Qiao, Zhiwei Li, Wenshuo Wang, Wei Zhang, Jiayin Zhu, Yanhuan Jiang, Li Wang, Hong Wang, Huaping Liu, Kunfeng Wang

IEEE Trans. Intell. Transp. Syst., August, 2025

Clustering Strategy for Megaconstellation With Synergistic Energy and Size Considerations.

Chengxi Zhang, Tianle Yin, Wenshuo Wang, Jin Wu, Jihe Wang, Yuhua Qi, Wei He

IEEE Trans. Aerosp. Electron. Syst., August, 2025

Driving Style Recognition Like an Expert Using Semantic Privileged Information from Large Language Models.

Zhaokun Chen, Chaopeng Zhang, Xiaohan Li, Wenshuo Wang, Gentiane Venture, Junqiang Xi

CoRR, August, 2025

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception.

Wenzhuo Liu, Wenshuo Wang, Yicheng Qiao, Qiannan Guo, Jiayin Zhu, Pengfei Li, Zilong Chen, Huiming Yang, Zhiwei Li, Lening Wang, Tiao Tan, Huaping Liu

CoRR, April, 2025

2024

A Survey of Multi-Vehicle Consensus in Uncertain Networks for Autonomous Driving.

Duanfeng Chu, Chenyang Zhao, Rukang Wang, Qiang Xiao, Wenshuo Wang, Dongpu Cao

IEEE Trans. Intell. Transp. Syst., December, 2024

Hierarchical Trajectory Planning Based on Adaptive Motion Primitives and Bilevel Corridor.

Shihao Li, Wenshuo Wang, Boyang Wang, Haijie Guan, Haiou Liu, Shaobin Wu, Huiyan Chen

IEEE Trans. Veh. Technol., November, 2024

An Embedded Driving Style Recognition Approach: Leveraging Knowledge in Learning.

Chaopeng Zhang, Wenshuo Wang, Zhiyang Ju, Zhaokun Chen, Gentiane Venture, Junqiang Xi

IEEE Trans. Intell. Veh., October, 2024

Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model.

Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen, Jian Zhang, Lijun Sun, Junqiang Xi

IEEE Trans. Intell. Transp. Syst., September, 2024

On Trustworthy Decision-Making Process of Human Drivers From the View of Perceptual Uncertainty Reduction.

Huanjie Wang, Haibin Liu, Wenshuo Wang, Lijun Sun

IEEE Trans. Intell. Transp. Syst., February, 2024

MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System.

Xiangcheng Hu, Jin Wu, Jianhao Jiao, Binqian Jiang, Wei Zhang, Wenshuo Wang, Ping Tan

CoRR, 2024

100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems.

Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen, Junqiang Xi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives.

Hongqing Chu, Hejian Zhuang, Wenshuo Wang, Xiaoxiang Na, Lulu Guo, Jia Zhang, Bingzhao Gao, Hong Chen

IEEE Trans. Intell. Veh., November, 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

IEEE Trans. Intell. Transp. Syst., March, 2023

Interactive Car-Following: Matters but NOT Always.

Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Scene-insensitive Driving Style Recognition using CAN Signals based on Factor Analysis.

Chaopeng Zhang, Wenshuo Wang, Jian Zhang, Zhiyang Ju, Zhaokun Chen, Junqiang Xi

Proceedings of the 6th IEEE International Conference on Industrial Cyber-Physical Systems, 2023

2022

Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios.

Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi

IEEE Trans. Intell. Transp. Syst., 2022

Leveraging Human Driving Preferences to Predict Vehicle Speed.

Sen Yang, Wenshuo Wang, Junqiang Xi

IEEE Trans. Intell. Transp. Syst., 2022

Understanding V2V Driving Scenarios Through Traffic Primitives.

Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao

IEEE Trans. Intell. Transp. Syst., 2022

On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic.

Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li, Lijun Sun

IEEE Trans. Intell. Transp. Syst., 2022

Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains.

Chao Lu, Chen Lv, Jianwei Gong, Wenshuo Wang, Dongpu Cao, Fei-Yue Wang

IEEE Trans. Intell. Transp. Syst., 2022

Uncovering Interpretable Internal States of Merging Tasks at Highway on-Ramps for Autonomous Driving Decision-Making.

Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li

IEEE Trans Autom. Sci. Eng., 2022

Social Interactions for Autonomous Driving: A Review and Perspectives.

Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun

Found. Trends Robotics, 2022

Social Interactions for Autonomous Driving: A Review and Perspective.

Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun

CoRR, 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, Jin Wu, Yu Jiang, Lihua Xie, Rui Fan

CoRR, 2022

Urban Digital Twins for Intelligent Road Inspection.

Rui Fan, Yikang Zhang, Sicen Guo, Jiahang Li, Yi Feng, Shuai Su, Yanting Zhang, Wenshuo Wang, Yu Jiang, Mohammud Junaid Bocus, Xingyi Zhu, Qijun Chen

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories.

Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao

IEEE Trans. Intell. Veh., 2020

A Probabilistic Approach to Measuring Driving Behavior Similarity With Driving Primitives.

Wenshuo Wang, Wei Han, Xiaoxiang Na, Jianwei Gong, Junqiang Xi

IEEE Trans. Intell. Veh., 2020

Influence of Cut-In Maneuvers for an Autonomous Car on Surrounding Drivers: Experiment and Analysis.

Chunqing Zhao, Wenshuo Wang, Shaopeng Li, Jianwei Gong

IEEE Trans. Intell. Transp. Syst., 2020

Decision-making in driver-automation shared control: A review and perspectives.

Wenshuo Wang, Xiaoxiang Na, Dongpu Cao, Jianwei Gong, Junqiang Xi, Yang Xing, Fei-Yue Wang

IEEE CAA J. Autom. Sinica, 2020

Decision-Making in Driver-Automation Shared Control: A Review and Perspectives.

Wenshuo Wang, Xiaoxiang Na, Dongpu Cao, Jianwei Gong, Junqiang Xi, Yang Xi, Fei-Yue Wang

CoRR, 2020

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.

Weiyang Zhang, Wenshuo Wang, Jiacheng Zhu, Ding Zhao

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields.

Wenshuo Wang, Chengyuan Zhang, Pin Wang, Ching-Yao Chan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

2019

A Learning-Based Personalized Driver Model Using Bounded Generalized Gaussian Mixture Models.

Wenshuo Wang, Junqiang Xi, J. Karl Hedrick

IEEE Trans. Veh. Technol., 2019

Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles.

Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng

IEEE Trans. Syst. Man Cybern. Syst., 2019

Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches.

Wenshuo Wang, Junqiang Xi, Ding Zhao

IEEE Trans. Intell. Transp. Syst., 2019

Estimating Driver's Lane-Change Intent Considering Driving Style and Contextual Traffic.

Xiaohan Li, Wenshuo Wang, Matthias Roetting

IEEE Trans. Intell. Transp. Syst., 2019

A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior.

Sen Yang, Wenshuo Wang, Chao Lu, Jianwei Gong, Junqiang Xi

IEEE Trans. Hum. Mach. Syst., 2019

Recurrent Attentive Neural Process for Sequential Data.

Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao

CoRR, 2019

Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process.

Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao

CoRR, 2019

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.

Weiyang Zhang, Wenshuo Wang, Ding Zhao

CoRR, 2019

Active Learning for Risk-Sensitive Inverse Reinforcement Learning.

Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao

CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos.

Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao

CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Video.

Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field.

Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios.

Wenhao Ding, Wenshuo Wang, Ding Zhao

Proceedings of the International Conference on Robotics and Automation, 2019

Driver Drowsiness Detection through a Vehicle's Active Probe Action.

Sen Yang, Junqiang Xi, Wenshuo Wang

Proceedings of the IEEE 2nd Connected and Automated Vehicles Symposium, 2019

2018

Driving-Style-Oriented Adaptive Equivalent Consumption Minimization Strategies for HEVs.

Sen Yang, Wenshuo Wang, Fengqi Zhang, Yuhui Hu, Junqiang Xi

IEEE Trans. Veh. Technol., 2018

A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model.

Wenshuo Wang, Ding Zhao, Wei Han, Junqiang Xi

IEEE Trans. Veh. Technol., 2018

Learning and Inferring a Driver's Braking Action in Car-Following Scenarios.

Wenshuo Wang, Junqiang Xi, Ding Zhao

IEEE Trans. Veh. Technol., 2018

Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications.

Wenshuo Wang, Ding Zhao

IEEE Robotics Autom. Lett., 2018

Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters.

Wenhao Ding, Wenshuo Wang, Ding Zhao

CoRR, 2018

Understanding V2V Driving Scenarios through Traffic Primitives.

Wenshuo Wang, Weiyang Zhang, Ding Zhao

CoRR, 2018

Clustering of Driving Scenarios Using Connected Vehicle Datasets.

Wenshuo Wang, Aditya Ramesh, Ding Zhao

CoRR, 2018

An Optimal LiDAR Configuration Approach for Self-Driving Cars.

Shenyu Mou, Yan Chang, Wenshuo Wang, Ding Zhao

CoRR, 2018

Clustering of Naturalistic Driving Encounters Using Unsupervised Learning.

Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao

CoRR, 2018

Influence Analysis of Autonomous Cars' Cut-In Behavior on Human Drivers in a Driving Simulator.

Chunqing Zhao, Shaopeng Li, Fenggang Liu, Wenshuo Wang, Jianwei Gong

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning.

Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis.

Chao Lu, Fengqing Hu, Wenshuo Wang, Jianwei Gong, Zeliang Ding

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives.

Jiacheng Zhu, Wenshuo Wang, Ding Zhao

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017

Evaluation of Lane Departure Correction Systems Using a Regenerative Stochastic Driver Model.

Wenshuo Wang, Ding Zhao

IEEE Trans. Intell. Veh., 2017

How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior.

Wenshuo Wang, Chang Liu, Ding Zhao

IEEE Trans. Intell. Veh., 2017

Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics.

Wenshuo Wang, Junqiang Xi, Chang Liu, Xiaohan Li

IEEE Trans. Intell. Transp. Syst., 2017

Driving Style Classification Using a Semisupervised Support Vector Machine.

Wenshuo Wang, Junqiang Xi, Alexandre Chong, Lin Li

IEEE Trans. Hum. Mach. Syst., 2017

Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach.

Shun Yang, Wenshuo Wang, Chang Liu, Kevin Deng, J. Karl Hedrick

CoRR, 2017

Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model.

Wenshuo Wang, Ding Zhao

CoRR, 2017

How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior.

Wenshuo Wang, Chang Liu, Ding Zhao

CoRR, 2017

Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data.

Ding Zhao, Wenshuo Wang, David J. LeBlanc

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach.

Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng, J. Karl Hedrick

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Development and evaluation of two learning-based personalized driver models for car-following behaviors.

Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick

Proceedings of the 2017 American Control Conference, 2017

2016

Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation.

Wenshuo Wang, Junqiang Xi, Xiaohan Li

CoRR, 2016

A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines.

Wenshuo Wang, Junqiang Xi

CoRR, 2016

A rapid pattern-recognition method for driving styles using clustering-based support vector machines.

Wenshuo Wang, Junqiang Xi

Proceedings of the 2016 American Control Conference, 2016

2015

Human-centered feed-forward control of a vehicle steering system based on a driver's steering model.

Wenshuo Wang, Junqiang Xi, Junmin Wang

Proceedings of the American Control Conference, 2015