Autonomous Vehicles (AVs) have the potential to solve many traffic problems, such as
accidents, congestion and pollution. However, there are still challenges to overcome, for …

Deep Reinforcement Learning has led us to newer possibilities in solving complex control
and navigation related tasks. The paper presents Deep Reinforcement Learning …

Since the introduction of the vehicle infrastructure integration (VII) and connected vehicle
(CV) initiatives in the United States, numerous in-vehicle technologies based on wireless …

In this paper, we review technologies for autonomous ground vehicles and their present
capabilities in research and in the automotive market. We outline technology requirements …

The goal of this paper is to design a functional software architecture for fully autonomous
vehicles. Existing literature takes a descriptive approach and presents past experiments with …

智能电动汽车是一类特殊的移动智能机器人, 能够改变人类生活品质, 时空价值和文化融合.
主要介绍了智能电动汽车发展的历程和国内外相关研究的发展水平和核心技术; …

The automatic-driving field has received much attention in recent years, as exemplified by
the Darpa's Grand Challenge. Two Spanish research groups have furthered such work by …

This paper presents the CAT Vehicle (Cognitive and Autonomous Test Vehicle) Testbed: a
research testbed comprised of a distributed simulation-based autonomous vehicle, with …

This paper proposes a system architecture, related design approaches for autonomous
mobile systems and guidelines for self-sufficient autonomy. Development of a tiered layout …

Turning behaviour is one of the most challenging driving manoeuvres that take place at
intersections. Autonomous vehicles (AVs) are often overly conservative in these scenarios …