most citedAnalysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2021

Influences on Drivers' Understandings of Systems by Presenting Image Recognition Results

Bo Yang, Koichiro Inoue, Satoshi Kitazaki +1

It is essential to help drivers have appropriate understandings of level 2 automated driving systems for keeping driving safety. A human machine interface (HMI) was proposed to pre…

eess.SY2021

Effect of Adaptive and Fixed Shared Steering Control on Distracted Driver Behavior

Zheng Wang, Satoshi Suga, Edric John Cruz Nacpil +2

Driver distraction is a well-known cause for traffic collisions worldwide. Studies have indicated that shared steering control, which actively provides haptic guidance torque on th…

cs.RO2020★ 3 cited

Analysis of Truck Driver Behavior to Design Different Lane Change Styles in Automated Driving

Zheng Wang, Muhua Guan, Jin Lan +4

Lane change is a very demanding driving task and number of traffic accidents are induced by mistaken maneuvers. An automated lane change system has the potential to reduce driver w…

cs.RO2020★ 1 cited

Intention-Based Lane Changing and Lane Keeping Haptic Guidance Steering System

Zhanhong Yan, Kaiming Yang, Zheng Wang +3

Haptic guidance in a shared steering assistance system has drawn significant attention in intelligent vehicle fields, owing to its mutual communication ability for vehicle control.…

cs.HC2020

Learning Personalized Discretionary Lane-Change Initiation for Fully Autonomous Driving Based on Reinforcement Learning

Zhuoxi Liu, Zheng Wang, Bo Yang +1

In this article, the authors present a novel method to learn the personalized tactic of discretionary lane-change initiation for fully autonomous vehicles through human-computer in…