Autonomous driving systems (ADSs) need to be able to respond quickly to changes in the
dynamic traffic scenario. However, regardless of the changes occurring in traffic scenes, the …

In this article, a hierarchical real-time motion planning system is proposed to solve complex
navigation problem in realistic dynamic traffic environments. First, a longitudinal safety …

Different driving styles should be considered in path planning for autonomous vehicles that
are travelling alongside other traditional vehicles in the same traffic scene. Based on the …

Intelligent vehicles are expected to avoid collision through emergency lane change when a
vehicle suddenly appears. Therefore, it is very meaningful to plan a path for collision-free …

In order to make an accurate prediction of vehicle trajectory in a dynamic environment, a
Unidirectional and Bidirectional LSTM (UB‐LSTM) vehicle trajectory prediction model …

Driver intention detection is an important component in human-centric driver assistance
systems. This article proposes a novel method for detecting driver normal and emergency …

Driver support and infotainment systems can be adapted to the specific needs of individual
drivers by assessing driver skill and state. In this paper, we present a machine learning …

Automated driving has received a broad of attentions from the academia and industry, since
it is effective to greatly reduce the severity of potential traffic accidents and achieve the …

Predicting other traffic participants trajectories is a crucial task for an autonomous vehicle, in
order to avoid collisions on its planned trajectory. It is also necessary for many Advanced …

One of the most important and fundamental topics in autonomous navigated vehicle
research is the lane change maneuver for obstacle avoidance or overtaking maneuver. In …