This article presents a novel path planning algorithm for autonomous land vehicles. There
are four main contributions: Firstly, an evaluation standard is introduced to measure the …

Efficient, safe, and comfortable electric vehicles (EVs) are essential for the creation of a
sustainable transport system. Distributed-driven EVs, which often use in-wheel motors …

Microscopic modeling of driving behavior is the basis for traffic design and traffic simulation
studies and can be applied to automated driving systems to provide human-like decision …

Path planning is a fundamental problem in the aspect of autonomous driving. A-star (A*)
algorithm is a heuristic algorithm for path planning. However, there are two problems need …

This article introduces a robust H-infinity fuzzy static output feedback (RHF-SOF) control with
norm-bounded strategy to enhance the path-following performance for the four-wheel …

Human-driven vehicles and different levels of autonomous vehicles are expected to coexist
on roads in the future. However, autonomous systems behave differently from their human …

The behavior decision-making algorithm plays an important role in ensuring the safe driving
of autonomous vehicles. However, existing behavior decision-making methods lack the …

Collision avoidance is one of the most important requirements for autonomous vehicles,
particularly in complex and congested traffic scenarios where trajectories have little safety …

In the field of path planning for autonomous vehicle, the existing studies separately consider
the path planning and path tracking problem. To fill in this research gap, this study proposes …

Collision avoidance is an important requirement for self‐driving systems, particularly in high‐
speed scenarios, where a multi‐state coupled motion makes it difficult to simultaneously …