187 citations · 524 across the 9 of their papers we have counts for
9 papers
Decision-Making in Driver-Automation Shared Control: A Review and Perspectives
Wenshuo Wang, Xiaoxiang Na, Dongpu Cao +4
Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, a…
Spatiotemporal Learning of Multivehicle Interaction Patterns in Lane-Change Scenarios
Chengyuan Zhang, Jiacheng Zhu, Wenshuo Wang +1
Interpretation of common-yet-challenging interaction scenarios can benefit well-founded decisions for autonomous vehicles. Previous research achieved this using their prior knowled…
A Time Efficient Approach for Decision-Making Style Recognition in Lane-Change Behavior
Sen Yang, Wenshuo Wang, Chao Lu +2
Fast recognizing driver's decision-making style of changing lanes plays a pivotal role in safety-oriented and personalized vehicle control system design. This paper presents a time…
Learning and Inferring a Driver's Braking Action in Car-Following Scenarios
Wenshuo Wang, Junqiang Xi, Ding Zhao
Accurately predicting and inferring a driver's decision to brake is critical for designing warning systems and avoiding collisions. In this paper we focus on predicting a driver's…
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches
Wenshuo Wang, Junqiang Xi, Ding Zhao
Analysis and recognition of driving styles are profoundly important to intelligent transportation and vehicle calibration. This paper presents a novel driving style analysis framew…
Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors
Wenshuo Wang, Ding Zhao, Junqiang Xi +2
Personalized driver models play a key role in the development of advanced driver assistance systems and automated driving systems. Traditionally, physical-based driver models with…
A Learning-Based Approach for Lane Departure Warning Systems with a Personalized Driver Model
Wenshuo Wang, Ding Zhao, Junqiang Xi +1
Misunderstanding of driver correction behaviors (DCB) is the primary reason for false warnings of lane-departure-prediction systems. We propose a learning-based approach to predict…
Statistical Pattern Recognition for Driving Styles Based on Bayesian Probability and Kernel Density Estimation
Wenshuo Wang, Junqiang Xi, Xiaohan Li
Driving styles have a great influence on vehicle fuel economy, active safety, and drivability. To recognize driving styles of path-tracking behaviors for different divers, a statis…
A Rapid Pattern-Recognition Method for Driving Types Using Clustering-Based Support Vector Machines
Wenshuo Wang, Junqiang Xi
A rapid pattern-recognition approach to characterize driver's curve-negotiating behavior is proposed. To shorten the recognition time and improve the recognition of driving styles,…