Haptic-shared steering (HSS) systems have been reported to enhance vehicle safety and
reduce the workload for drivers. However, few studies have focused on modeling the lateral …

Deep reinforcement learning (RL) has been widely applied to motion planning problems of
autonomous vehicles in urban traffic. However, traditional deep RL algorithms cannot …

The emergence of autonomous driving vehicles on roads has increased the importance of
research on autonomous driving in mixed-autonomous traffic. In mixed-autonomous traffic …

Shared steering control has been developed to reduce driver workload while keeping the
driver in the control loop. A driver could integrate visual sensory information from the road …

The recently advanced robotics technology enables robots to assist users in their daily lives.
Haptic guidance (HG) improves users' task performance through physical interaction …

Autonomous driving has brought about a growing interest in enhancing traffic efficiency and
ensuring road safety. One of the fundamental functions of autonomous driving technology is …

Reinforcement learning (RL) has recently gained significant attention as a dynamic method
for controlling traffic signals based on the real-time traffic flow. However, previous studies …

In the parallel steering coordination control strategy for path tracking, it is difficult to match
the current driver steering model using the fixed parameters with the actual driver, and the …

An advanced driver-assistance system is developed, in which the conventional steering
wheel and brake pedal are replaced by a novel human-machine interface using surface …

Autonomous vehicles need to make intelligent decisions in complex environments such as
highways or even less organized environments within cities. Driver Assistance Systems are …