Mind, Machine, and Society: Legal and Ethical Implications of Self-Driving Cars Share Your Story
Page 1 Mind, Machine, and Society: Legal and Ethical Implications of Self-Driving Cars Permanent …

Executive Summary As Automated Vehicles (AVs) will be deployed in mixed traffic, they
need to interact safely and efficiently with other traffic participants (TPs). The interACT …

Autonomous driving is widely acknowledged as a promising solution to modern traffic
problems such as congestions and accidents. It is a complicated system including sub …

Markov decision processes (MDPs) are mathematical models of sequential decision-making
under uncertainty that have found applications in evaluating and optimizing medical …

The thesis tackles the planning and control of autonomous overtaking and subsequent lane-
keeping. While existing solutions attempt multi-lane overtaking involving simple and static …

This technical report presents an environment representation for use in vision-based
navigation. The representation has two useful properties: 1) it has constant size, which can …

The traffic accidents caused by human error, such as distraction, drowsiness, or mistakes,
account for 94 percent of all traffic accidents over last decades. Since safe driving is a goal …

Abstract Markov Decision Processes (MDPs) are mathematical models of sequential
decision-making under uncertainty that have found applications in healthcare …

This study proposes a decision-making model for lane changing and lane keeping decisions
in highway autonomous driving. In order to perform a safe and efficient lane change, it is …

In the last few years, several research groups and companies have worked on developing
autonomous vehicles. Among the first automation layers, the safety layer plays a significant …