Self-driving vehicles will soon be a reality, as main automotive companies have announced
that they will sell their driving automation modes in the 2020s. This technology raises …

Robots are currently replacing human in different activities in various sectors, which vary
from typical robots for industrial applications to self-directed robots for difficult tasks, for …

Abstract In recent years, Unmanned Ground Vehicles (UGVs) have been widely used as
service robots. Unlike industrial robots, which are situated in fixed and controlled positions …

Intelligent decision making and efficient trajectory planning are closely related in
autonomous driving technology, especially in highway environment full of dynamic …

The autonomous vehicles (AVs) need to share the driving environment with the human
driving vehicles (HDVs) on expressway in the future. The non-humanlike lane changing (LC) …

Decision-making and motion planning are two core functionalities of intelligent vehicles. A
novel integrated decision-making and planning framework is presented for real-time and …

Path planning models are often only founded by geometric calculations and do not consider
the vehicle's limitations. In critical situations, path following is crucial, as a departure from the …

An accurate and up-to-date High Definition (HD) Map is critical for an intelligent vehicle to
drive safely and effectively. Although research in this area is growing, there is still a lack of …

In the last two decades, the deep technological developments in the fields of artificial
intelligence, computing platforms and sensors boosted the use of autonomous mobile robots …

In this article, we propose a new approach to solve local motion planning problem in
autonomous vehicle field. Instead of generating several primitives and choosing the optimal …