In this review, we provide an overview of emerging trends and challenges in the field of
intelligent and autonomous, or self-driving, vehicles. Recent advances in the field of …

The last decade has shown an increasing interest on advanced driver assistance systems
(ADAS) based on shared control, where automation is continuously supporting the driver at …

In this article, we tackle the problem of flying time-optimal trajectories through multiple
waypoints with quadrotors. State-of-the-art solutions split the problem into a planning task …

To investigate the diversified technologies in Internet of Vehicles (IoVs) under intelligent
edge computing, brain-inspired computing techniques are proposed in this study, which is a …

This letter presents a method for local motion planning in unstructured environments with
static and moving obstacles, such as humans. Given a reference path and speed, our …

Early detection of driver mental fatigue is one of the active areas of research in smart and
intelligent vehicles. There are various methods, based on measuring the physiological …

Distraction, misjudgement and driving mistakes can significantly affect a driver, resulting in
an increased risk of accidents. There are diverse factors that can cause mistakes in driving …

Deep learning has revolutionized the ability to learn “end-to-end” autonomous vehicle
control directly from raw sensory data. While there have been recent extensions to handle …

This study addresses the path-tracking control issue of autonomous vehicles (AVs) when the
GPS measurement is temporarily unavailable. In such a case, the vehicle states, location or …

Motivated by the need for simulation tools for testing, verification and validation of
autonomous driving systems that operate in traffic consisting of both autonomous and …