A path planning approach to generate a path which mitigates the effects of an inevitable
crash for autonomous vehicles is presented in this brief. The model predictive control …

This article describes the development and implementation of virtual target-based
longitudinal motion planning of autonomous vehicles at urban intersections ensuring safety …

Safety is the cornerstone of autonomous driving vehicles. For autonomously controlled
vehicles driving safely in complex and dynamic traffic scenarios, it is essential to precisely …

An integrated automatic driving system consists of perception, planning and control. As one
of the key components of an autonomous driving system, the longitudinal planning module …

Full drive-by-wire electric vehicles (FDWEV) equipped with X-by-wire technology can enable
independent driving, braking, and steering of each wheel, making them an ideal platform for …

Motion planning is an essential part of autonomous vehicles. The planning process should
respond to environmental changes in real time to ensure safety. This paper proposes an …

This paper proposes a unified and fast trajectory planning method for an autonomous
vehicle with avoidance of static obstacles in the off-road scenarios. Nominally, an optimal …

Path tracking for autonomous vehicles is one of the most critical tasks in intelligent
transportation systems (ITS). The ITS performance, including efficiency, safety, flexibility, and …

Autonomous driving requires efficient and safe decision making and motion planning in
dynamic and uncertain environments. Future movement of surrounding vehicles is often …

Lane changes in multi‐vehicle driving environments are one of the most challenging
manoeuvres for autonomous vehicles. The key innovation of this study is to develop an …