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A Review of Carsickness Mitigation: Navigating Challenges and Exploiting Opportunities in the Era of Intelligent Vehicles
Motion sickness (MS) has long been a common complaint in road transportation.
Personalized Lane Change Decision Algorithm Using Deep Reinforcement Learning Approach
To develop driving automation technologies for human, a human-centered methodology should be adopted for ensured safety and satisfactory user experience.
Personalized Highway Pilot Assist Considering Leading Vehicle's Lateral Behaviours
Drivers are clustered into two driving style groups referring to their driving Behaviours affected by the leading vehicle, and then the personalization parameters for every specific subject driver are optimized.
Safe, efficient and socially-compatible decision of automated vehicles: a case study of unsignalized intersection driving
By investigating the causes of 4, 300 video clips of traffic accidents, we find that the limited dynamic visual field of drivers is one leading factor in inter-vehicle interaction accidents, especially in those involving trucks.
