Publications (8)
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)…
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…
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…
Physics-Informed Neural Optimal Control for Precision Immobilization Technique in Emergency Scenarios
Yangye Jiang, Jiachen Wang, Daofei Li
Precision Immobilization Technique (PIT) is a potentially effective intervention maneuver for emergency out-of-control vehicle, but its automation is challenged by highly nonlinear…
A Review of Carsickness Mitigation: Navigating Challenges and Exploiting Opportunities in the Era of Intelligent Vehicles
Daofei Li, Tingzhe Yu, Binbin Tang
Motion sickness (MS) has long been a common complaint in road transportation. However, in the era of driving automation, MS has become an increasingly significant issue. The future…
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…