most citedLane Departure Prediction Based on Closed-Loop Vehicle Dynamics

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2022

Human-like Driving Decision at Unsignalized Intersections Based on Game Theory

Daofei Li, Guanming Liu, Bin Xiao

Unsignalized intersection driving is challenging for automated vehicles. For safe and efficient performances, the diverse and dynamic behaviors of interacting vehicles should be co…

cs.RO2021

Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach

Daofei Li, Ao Liu

To develop driving automation technologies for human, a human-centered methodology should be adopted for ensured safety and satisfactory user experience. Automated lane change deci…

eess.SY2021

Personalized Highway Pilot Assist Considering Leading Vehicle's Lateral Behaviours

Daofei Li, Ao Liu

Highway pilot assist has become the front line of competition in advanced driver assistance systems. The increasing requirements on safety and user acceptance are calling for perso…

cs.RO2021★ 5 cited

Lane Departure Prediction Based on Closed-Loop Vehicle Dynamics

Daofei Li, Siyuan Lin, Guanming Liu

An automated driving system should have the ability to supervise its own performance and to request human driver to take over when necessary. In the lane keeping scenario, the pred…

eess.SY2021★ 4 cited

Safe, efficient and socially-compatible decision of automated vehicles: a case study of unsignalized intersection driving

Daofei Li, Ao Liu, Hao Pan +1

Safe and smooth interacting with other vehicles is one of the ultimate goals of driving automation. However, recent reports of demonstrative deployments of automated vehicles (AVs)…