This paper investigates a human-machine cooperative trajectory planning and tracking
control approach for automated vehicles. The proposed method is developed based on a …

In this paper, we investigate a novel collision probability-aware human-machine cooperative
planning and tracking method for enhancing safety of automated vehicles. Firstly, a long …

Road safety is one of the major concerns for automated vehicles. In order for these vehicles
to interact safely and efficiently with the other road participants, the behavior of the …

The purpose of this paper is to alleviate the potential safety problems associated with the
human driver and the automatic system competing for the right of way due to different …

This article advances state-of-the-art automated driving systems with a comprehensive
framework that encompasses decision making, maneuver planning, and trajectory tracking …

Motion planning for autonomous vehicles becomes more challenging when both driver
comfort and collision risk are considered. To overcome this challenge, a human-like motion …

Effective and friendly human-machine cooperative driving is considered as a feasible
solution to filling the gap between assisted driving and highly automated driving. This paper …

This work proposes an active collision avoidance between autonomous driving vehicle and
pedestrian with motion uncertainty under urban road. A candidate trajectory planning …

This paper focuses on the real-time trajectory planning problem for autonomous vehicles
driving in realistic urban environments. To solve the complex navigation problem, we adopt …

This paper presents an efficient hierarchical motion planning framework with a long
planning horizon for autonomous driving in structured environments. A 3D motion planning …