This paper shows a software stack capable of planning a minimum curvature trajectory for
an autonomous race car on the basis of an occupancy grid map and introduces a controller …

It has been almost half a century since the first interest in autonomous robots was shown,
and research is still continuing to improve their ability to make perfectly conscious decisions …

Connected autonomous vehicle (CAV) technology has the potential to enable significant
gains in energy economy (EE). Much research attention has been focused on autonomous …

Based on a software architecture for autonomous driving presented and tested in an
autonomous level-5 race-car in 2018 this paper describes in detail the evolutionary …

In this paper, we propose a deep Q-network (DQN) method to develop an autonomous
vehicle control system to achieve trajectory design and collision avoidance with regard to …

An autonomous vehicle (AV) uses high-level decision making and lower-level actuator
controls, such as throttle (acceleration), braking (deceleration), and steering (change in …

The development of ever intelligent systems in various application fields is nowadays a hot
research topic. Artificial Intelligence (AI) techniques become a key enabler of the transition …

More and more applications require early decisions, ie taken as soon as possible from
partially observed data. However, the later a decision is made, the more its accuracy tends …

Self-driving cars, believed to be on track to become a seven trillion-dollar industry by 2050,
are likely to be a popular mode of transportation in the near future, as the technology …

This study explores how drivers are affected by automation when driving in rested and
fatigued conditions. Eighty-nine drivers (45 females, 44 males) aged between 20 and 85 …