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Journal Articles
- 2024
[j34]Xu Li
, Gwanggil Jeon, Wenshuo Wang, Jindong Zhao:
A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing. Digit. Commun. Networks 10(3): 645-654 (2024)- [j33]Chuanba Liu, Wenshuo Wang, Tao Sun, Yimin Song:
Soft-tissue sound-speed-aware ultrasound-CT registration method for computer-assisted orthopedic surgery. Medical Biol. Eng. Comput. 62(11): 3385-3396 (2024) - [j32]Huanjie Wang, Haibin Liu, Wenshuo Wang, Lijun Sun:
On Trustworthy Decision-Making Process of Human Drivers From the View of Perceptual Uncertainty Reduction. IEEE Trans. Intell. Transp. Syst. 25(2): 1625-1636 (2024) - [j31]Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen, Jian Zhang, Lijun Sun, Junqiang Xi:
Shareable Driving Style Learning and Analysis With a Hierarchical Latent Model. IEEE Trans. Intell. Transp. Syst. 25(9): 11471-11484 (2024) - 2023
- [j30]Wenshuo Wang, Xu Li, Xiuqin Qiu, Xiang Zhang, Jindong Zhao, Vladimir Brusic:
A privacy preserving framework for federated learning in smart healthcare systems. Inf. Process. Manag. 60(1): 103167 (2023) - [j29]Yuxiong Ji, Lantao Ni, Cong Zhao, Cailin Lei, Yuchuan Du, Wenshuo Wang:
TriPField: A 3D Potential Field Model and Its Applications to Local Path Planning of Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 24(3): 3541-3554 (2023) - [j28]Hongqing Chu, Hejian Zhuang, Wenshuo Wang, Xiaoxiang Na, Lulu Guo, Jia Zhang, Bingzhao Gao, Hong Chen:
A Review of Driving Style Recognition Methods From Short-Term and Long-Term Perspectives. IEEE Trans. Intell. Veh. 8(11): 4599-4612 (2023) - 2022
- [j27]Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun:
Social Interactions for Autonomous Driving: A Review and Perspectives. Found. Trends Robotics 10(3-4): 198-376 (2022) - [j26]Jindong Zhao, Wenshuo Wang, Dan Wang, Xuan Wang, Chunxiao Mu:
PMHE: a wearable medical sensor assisted framework for health care based on blockchain and privacy computing. J. Cloud Comput. 11: 96 (2022) - [j25]Hongtao Wei, Lei Tang, Wenshuo Wang, Jiaming Zhang:
Home Environment Augmented Reality System Based on 3D Reconstruction of a Single Furniture Picture. Sensors 22(11): 4020 (2022) - [j24]Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li:
Uncovering Interpretable Internal States of Merging Tasks at Highway on-Ramps for Autonomous Driving Decision-Making. IEEE Trans Autom. Sci. Eng. 19(4): 2825-2836 (2022) - [j23]Wenshuo Wang, Weiyang Zhang, Jiacheng Zhu, Ding Zhao:
Understanding V2V Driving Scenarios Through Traffic Primitives. IEEE Trans. Intell. Transp. Syst. 23(1): 610-619 (2022) - [j22]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi:
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. IEEE Trans. Intell. Transp. Syst. 23(7): 6446-6459 (2022) - [j21]Sen Yang, Wenshuo Wang, Junqiang Xi:
Leveraging Human Driving Preferences to Predict Vehicle Speed. IEEE Trans. Intell. Transp. Syst. 23(8): 11137-11147 (2022) - [j20]Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li, Lijun Sun:
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic. IEEE Trans. Intell. Transp. Syst. 23(8): 11237-11248 (2022) - [j19]Chao Lu, Chen Lv, Jianwei Gong, Wenshuo Wang, Dongpu Cao, Fei-Yue Wang:
Instance-Level Knowledge Transfer for Data-Driven Driver Model Adaptation With Homogeneous Domains. IEEE Trans. Intell. Transp. Syst. 23(10): 17015-17026 (2022) - 2020
- [j18]Yong Feng, Yuqi Cao, Wenshuo Wang, Huifeng Zhang, Lai Wei, Bing Jia, Shengzhang Wang:
Computational Modeling for Surgical Reconstruction of Aortic Valve by Using Autologous Pericardium. IEEE Access 8: 97343-97352 (2020) - [j17]Wenshuo Wang, Xiaoxiang Na, Dongpu Cao, Jianwei Gong, Junqiang Xi, Yang Xing, Fei-Yue Wang:
Decision-making in driver-automation shared control: A review and perspectives. IEEE CAA J. Autom. Sinica 7(5): 1289-1307 (2020) - [j16]Chunqing Zhao, Wenshuo Wang, Shaopeng Li, Jianwei Gong:
Influence of Cut-In Maneuvers for an Autonomous Car on Surrounding Drivers: Experiment and Analysis. IEEE Trans. Intell. Transp. Syst. 21(6): 2266-2276 (2020) - [j15]Wenshuo Wang, Wei Han, Xiaoxiang Na, Jianwei Gong, Junqiang Xi:
A Probabilistic Approach to Measuring Driving Behavior Similarity With Driving Primitives. IEEE Trans. Intell. Veh. 5(1): 127-138 (2020) - [j14]Wenshuo Wang, Aditya Ramesh, Jiacheng Zhu, Jie Li, Ding Zhao:
Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories. IEEE Trans. Intell. Veh. 5(3): 485-496 (2020) - 2019
- [j13]Sen Yang, Wenshuo Wang, Chao Lu, Jianwei Gong, Junqiang Xi:
A Time-Efficient Approach for Decision-Making Style Recognition in Lane-Changing Behavior. IEEE Trans. Hum. Mach. Syst. 49(6): 579-588 (2019) - [j12]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches. IEEE Trans. Intell. Transp. Syst. 20(8): 2986-2998 (2019) - [j11]Xiaohan Li, Wenshuo Wang, Matthias Roetting:
Estimating Driver's Lane-Change Intent Considering Driving Style and Contextual Traffic. IEEE Trans. Intell. Transp. Syst. 20(9): 3258-3271 (2019) - [j10]Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng:
Scene Understanding in Deep Learning-Based End-to-End Controllers for Autonomous Vehicles. IEEE Trans. Syst. Man Cybern. Syst. 49(1): 53-63 (2019) - [j9]Wenshuo Wang, Junqiang Xi, J. Karl Hedrick:
A Learning-Based Personalized Driver Model Using Bounded Generalized Gaussian Mixture Models. IEEE Trans. Veh. Technol. 68(12): 11679-11690 (2019) - 2018
- [j8]Wenshuo Wang, Ding Zhao:
Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications. IEEE Robotics Autom. Lett. 3(2): 1223-1229 (2018) - [j7]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Learning and Inferring a Driver's Braking Action in Car-Following Scenarios. IEEE Trans. Veh. Technol. 67(5): 3887-3899 (2018) - [j6]Wenshuo Wang, Ding Zhao, Wei Han, Junqiang Xi:
A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model. IEEE Trans. Veh. Technol. 67(10): 9145-9157 (2018) - [j5]Sen Yang, Wenshuo Wang, Fengqi Zhang, Yuhui Hu, Junqiang Xi:
Driving-Style-Oriented Adaptive Equivalent Consumption Minimization Strategies for HEVs. IEEE Trans. Veh. Technol. 67(10): 9249-9261 (2018) - 2017
- [j4]Wenshuo Wang, Junqiang Xi, Alexandre Chong, Lin Li:
Driving Style Classification Using a Semisupervised Support Vector Machine. IEEE Trans. Hum. Mach. Syst. 47(5): 650-660 (2017) - [j3]Wenshuo Wang, Junqiang Xi, Chang Liu, Xiaohan Li:
Human-Centered Feed-Forward Control of a Vehicle Steering System Based on a Driver's Path-Following Characteristics. IEEE Trans. Intell. Transp. Syst. 18(6): 1440-1453 (2017) - [j2]Wenshuo Wang, Chang Liu, Ding Zhao:
How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior. IEEE Trans. Intell. Veh. 2(2): 85-98 (2017) - [j1]Wenshuo Wang, Ding Zhao:
Evaluation of Lane Departure Correction Systems Using a Regenerative Stochastic Driver Model. IEEE Trans. Intell. Veh. 2(3): 221-232 (2017)
Conference and Workshop Papers
- 2024
- [c28]Wenshuo Wang, Jochem Thomas Hummel, Joe Nandhakumar:
Sustainable Disruption of Organizational Knowledge: A Case Study on Changing Epistemic Stances in Digital Transformation. HICSS 2024: 5081-5090 - [c27]Wenshuo Wang, Lucas Janson, Lihua Lei, Aaditya Ramdas:
Total Variation Floodgate for Variable Importance Inference in Classification. ICML 2024 - [c26]Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen, Junqiang Xi:
100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems. IV 2024: 351-356 - 2023
- [c25]Miao Yuan, Wenshuo Wang, Jian Yang, Jinlong Deng:
Design of Simulation System for Typical Application Verification and Testing of Low-voltage Intelligent IoT Power Distribution Area Fusion Terminal. AIBDF 2023: 261-266 - [c24]Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo:
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. ESEM 2023: 1-11 - [c23]Chaopeng Zhang, Wenshuo Wang, Jian Zhang, Zhiyang Ju, Zhaokun Chen, Junqiang Xi:
Scene-insensitive Driving Style Recognition using CAN Signals based on Factor Analysis. ICPS 2023: 1-6 - [c22]Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, Yu Liu:
Accelerating Reinforcement Learning for Autonomous Driving Using Task-Agnostic and Ego-Centric Motion Skills. IROS 2023: 11289-11296 - [c21]Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun:
Interactive Car-Following: Matters but NOT Always. ITSC 2023: 5120-5125 - [c20]Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, Bing Li:
Understanding Bugs in Multi-Language Deep Learning Frameworks. ICPC 2023: 328-338 - [c19]Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. Robotics: Science and Systems 2023 - 2022
- [c18]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:
Urban Digital Twins for Intelligent Road Inspection. IEEE Big Data 2022: 5110-5114 - 2021
- [c17]Zeyang Tang, Wenshuo Wang, Wei Rao, Dongsheng Li, Heng Liu, Youjun Deng, Qian Jiang:
Impact Evaluation of Compensation Price on Electric Vehicle Charging Load Distribution. ICAIIS 2021: 329:1-329:6 - 2020
- [c16]Qin Lin, Wenshuo Wang, Yihuan Zhang, John M. Dolan:
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile. ACC 2020: 3965-3970 - [c15]Weiyang Zhang, Wenshuo Wang, Jiacheng Zhu, Ding Zhao:
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. IV 2020: 1197-1204 - [c14]Wenshuo Wang, Chengyuan Zhang, Pin Wang, Ching-Yao Chan:
Learning Representations for Multi-Vehicle Spatiotemporal Interactions with Semi-Stochastic Potential Fields. IV 2020: 1935-1940 - 2019
- [c13]Sen Yang, Junqiang Xi, Wenshuo Wang:
Driver Drowsiness Detection through a Vehicle's Active Probe Action. CAVS 2019: 1-7 - [c12]Wenhao Ding, Wenshuo Wang, Ding Zhao:
A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios. ICRA 2019: 4255-4261 - [c11]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. ITSC 2019: 3974-3980 - [c10]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A General Framework of Learning Multi-Vehicle Interaction Patterns from Video. ITSC 2019: 4323-4328 - 2018
- [c9]Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. ITSC 2018: 2052-2057 - [c8]Chao Lu, Fengqing Hu, Wenshuo Wang, Jianwei Gong, Zeliang Ding:
Transfer Learning for Driver Model Adaptation via Modified Local Procrustes Analysis. Intelligent Vehicles Symposium 2018: 73-78 - [c7]Chunqing Zhao, Shaopeng Li, Fenggang Liu, Wenshuo Wang, Jianwei Gong:
Influence Analysis of Autonomous Cars' Cut-In Behavior on Human Drivers in a Driving Simulator. Intelligent Vehicles Symposium 2018: 85-90 - [c6]Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao:
Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning. Intelligent Vehicles Symposium 2018: 1354-1359 - 2017
- [c5]Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick:
Development and evaluation of two learning-based personalized driver models for car-following behaviors. ACC 2017: 1133-1138 - [c4]Ding Zhao, Wenshuo Wang, David J. LeBlanc:
Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data. Intelligent Vehicles Symposium 2017: 926-932 - [c3]Shun Yang, Wenshuo Wang, Chang Liu, Weiwen Deng, J. Karl Hedrick:
Feature analysis and selection for training an end-to-end autonomous vehicle controller using deep learning approach. Intelligent Vehicles Symposium 2017: 1033-1038 - 2016
- [c2]Wenshuo Wang, Junqiang Xi:
A rapid pattern-recognition method for driving styles using clustering-based support vector machines. ACC 2016: 5270-5275 - 2015
- [c1]Wenshuo Wang, Junqiang Xi, Junmin Wang:
Human-centered feed-forward control of a vehicle steering system based on a driver's steering model. ACC 2015: 3361-3366
Informal and Other Publications
- 2024
- [i41]Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen, Junqiang Xi:
100 Drivers, 2200 km: A Natural Dataset of Driving Style toward Human-centered Intelligent Driving Systems. CoRR abs/2406.07894 (2024) - [i40]Xiangcheng Hu, Jin Wu, Jianhao Jiao, Binqian Jiang, Wei Zhang, Wenshuo Wang, Ping Tan:
MS-Mapping: An Uncertainty-Aware Large-Scale Multi-Session LiDAR Mapping System. CoRR abs/2408.03723 (2024) - 2023
- [i39]Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, Bing Li:
Understanding Bugs in Multi-Language Deep Learning Frameworks. CoRR abs/2303.02695 (2023) - [i38]Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander:
Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors. CoRR abs/2305.04412 (2023) - [i37]Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo:
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. CoRR abs/2307.01970 (2023) - [i36]Chengyuan Zhang, Rui Chen, Jiacheng Zhu, Wenshuo Wang, Changliu Liu, Lijun Sun:
Interactive Car-Following: Matters but NOT Always. CoRR abs/2307.16127 (2023) - [i35]Chaopeng Zhang, Wenshuo Wang, Zhaokun Chen, Jian Zhang, Lijun Sun, Junqiang Xi:
Shareable Driving Style Learning and Analysis with a Hierarchical Latent Model. CoRR abs/2310.15057 (2023) - 2022
- [i34]Nachuan Ma, Jiahe Fan, Wenshuo Wang, Jin Wu, Yu Jiang, Lihua Xie, Rui Fan:
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms. CoRR abs/2204.13590 (2022) - [i33]Yidong Du, Wenshuo Wang, Zhigang Wang, Hua Yang, Haitao Wang, Yinghao Cai, Ming Chen:
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery. CoRR abs/2206.03027 (2022) - [i32]Wenshuo Wang, Letian Wang, Chengyuan Zhang, Changliu Liu, Lijun Sun:
Social Interactions for Autonomous Driving: A Review and Perspective. CoRR abs/2208.07541 (2022) - [i31]Tong Zhou, Letian Wang, Ruobing Chen, Wenshuo Wang, Yu Liu:
Accelerating Reinforcement Learning for Autonomous Driving using Task-Agnostic and Ego-Centric Motion Skills. CoRR abs/2209.12072 (2022) - [i30]Huanjie Wang, Haibin Liu, Wenshuo Wang, Lijun Sun:
On Trustworthy Decision-Making Process of Human Drivers from the View of Perceptual Uncertainty Reduction. CoRR abs/2210.08256 (2022) - 2021
- [i29]Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li:
Uncovering Interpretable Internal States of Merging Tasks at Highway On-Ramps for Autonomous Driving Decision-Making. CoRR abs/2102.07530 (2021) - [i28]Wenshuo Wang, Chen Wu, Liang Cheng, Yang Zhang:
Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix. CoRR abs/2107.08262 (2021) - 2020
- [i27]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Junqiang Xi:
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios. CoRR abs/2003.00759 (2020) - [i26]Wenshuo Wang, Xiaoxiang Na, Dongpu Cao, Jianwei Gong, Junqiang Xi, Yang Xi, Fei-Yue Wang:
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives. CoRR abs/2007.12597 (2020) - [i25]Huanjie Wang, Wenshuo Wang, Shihua Yuan, Xueyuan Li, Lijun Sun:
On Social Interactions of Merging Behaviors at Highway On-Ramps in Congested Traffic. CoRR abs/2008.06156 (2020) - 2019
- [i24]Yaohui Guo, Vinay Varma Kalidindi, Mansur Arief, Wenshuo Wang, Jiacheng Zhu, Huei Peng, Ding Zhao:
Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field. CoRR abs/1906.10307 (2019) - [i23]Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos. CoRR abs/1907.07315 (2019) - [i22]Rui Chen, Wenshuo Wang, Zirui Zhao, Ding Zhao:
Active Learning for Risk-Sensitive Inverse Reinforcement Learning. CoRR abs/1909.07843 (2019) - [i21]Weiyang Zhang, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression. CoRR abs/1910.03633 (2019) - [i20]Jiacheng Zhu, Shenghao Qin, Wenshuo Wang, Ding Zhao:
Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process. CoRR abs/1910.08102 (2019) - [i19]Shenghao Qin, Jiacheng Zhu, Jimmy Qin, Wenshuo Wang, Ding Zhao:
Recurrent Attentive Neural Process for Sequential Data. CoRR abs/1910.09323 (2019) - [i18]Qin Lin, Wenshuo Wang, Yihuan Zhang, John M. Dolan:
Measuring Similarity of Interactive Driving Behaviors Using Matrix Profile. CoRR abs/1910.12969 (2019) - 2018
- [i17]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Learning and Inferring a Driver's Braking Action in Car-Following Scenarios. CoRR abs/1801.03905 (2018) - [i16]Sisi Li, Wenshuo Wang, Zhaobin Mo, Ding Zhao:
Clustering of Naturalistic Driving Encounters Using Unsupervised Learning. CoRR abs/1802.10214 (2018) - [i15]Jiacheng Zhu, Wenshuo Wang, Ding Zhao:
A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives. CoRR abs/1805.04925 (2018) - [i14]Shenyu Mou, Yan Chang, Wenshuo Wang, Ding Zhao:
An Optimal LiDAR Configuration Approach for Self-Driving Cars. CoRR abs/1805.07843 (2018) - [i13]Wenshuo Wang, Aditya Ramesh, Ding Zhao:
Clustering of Driving Scenarios Using Connected Vehicle Datasets. CoRR abs/1807.08415 (2018) - [i12]Wenshuo Wang, Weiyang Zhang, Ding Zhao:
Understanding V2V Driving Scenarios through Traffic Primitives. CoRR abs/1807.10422 (2018) - [i11]Wenhao Ding, Wenshuo Wang, Ding Zhao:
Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters. CoRR abs/1809.05680 (2018) - 2017
- [i10]Wenshuo Wang, Ding Zhao, Junqiang Xi, Wei Han:
A Learning-Based Approach for Lane Departure Warning Systems with a Personalized Driver Model. CoRR abs/1702.01228 (2017) - [i9]Wenshuo Wang, Ding Zhao:
Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model. CoRR abs/1702.05779 (2017) - [i8]Ding Zhao, Wenshuo Wang, David J. LeBlanc:
Evaluation of A Semi-Autonomous Lane Departure Correction System Using Naturalistic Driving Data. CoRR abs/1702.06557 (2017) - [i7]Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick:
Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors. CoRR abs/1703.03534 (2017) - [i6]Shun Yang, Wenshuo Wang, Chang Liu, Kevin Deng, J. Karl Hedrick:
Feature Analysis and Selection for Training an End-to-End Autonomous Vehicle Controller Using the Deep Learning Approach. CoRR abs/1703.09744 (2017) - [i5]Wenshuo Wang, Chang Liu, Ding Zhao:
How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior. CoRR abs/1706.07637 (2017) - [i4]Wenshuo Wang, Junqiang Xi, Ding Zhao:
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches. CoRR abs/1708.08986 (2017) - [i3]Wenshuo Wang, Ding Zhao:
Extracting Traffic Primitives Directly from Naturalistically Logged Data for Self-Driving Applications. CoRR abs/1709.03553 (2017) - 2016
- [i2]Wenshuo Wang, Junqiang Xi:
A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines. CoRR abs/1605.06742 (2016) - [i1]Wenshuo Wang, Junqiang Xi, Xiaohan Li:
Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation. CoRR abs/1606.01284 (2016)
Coauthor Index
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