Autonomous Vehicles (AVs) offer significant advantages in terms of traffic and fuel efficiency
accident prevention, and reduced travel time.Sense-plan-act'cycle of the AV has been …

The prospect of driverless cars wide-scale deployment is imminent owing to the advances in
robotics, computational power, communications, and sensor technologies. This promises …

This paper presents the design and first test on a simulator of a vehicle trajectory-planning
algorithm that adapts to traffic on a lane-structured infrastructure such as highways. The …

The convergence of mechanical, electrical, and advanced ICT technologies, driven by
artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity, will help to develop …

Automated vehicles are rapidly emerging as the new generation of transport tools. Relevant
research mainly focuses on collision avoidance, lane keeping, and coordination control to …

This article outlines the architecture of autonomous driving and related complementary
frameworks from the perspective of human comfort. The technical elements for measuring …

Safe and adaptable motion planning for autonomous vehicles remains an open problem in
urban environments, where the variability of situations and behaviors may become …

Motion sickness in self-driving cars is a key human factor that aggravates the passengers'
health in autonomous vehicles and is investigated in the following pages. As drivers turn into …

Although autonomous vehicles (AV) have been rapidly developed, their control technology
is not sufficiently mature for daily use, yet not human-centred enough. Some studies …

This paper presents a novel integrated approach to deal with the decision making and
motion planning for lane-change maneuvers of autonomous vehicle (AV) considering social …