This paper overviews challenges in perception and decision making for intelligent, or highly
automated, automotive vehicles. We illustrate our development of a complete perception …

Recent research in automated highway systems has ranged from low-level vision-based
controllers to high-level route-guidance software. However, there is currently no system for …

A primary challenge to creating an intelligent vehicle that can competently drive in traffic is
the task of tactical reasoning: deciding which maneuvers to perform in a particular driving …

Intelligent vehicles must make real-time tactical level decisions to drive in mixed traffic
environments. SAPIENT is a reasoning system that combines high-level task goals with low …

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 …

To operate reliably in real-world traffic, an autonomous car must evaluate the consequences
of its potential actions by anticipating the uncertain intentions of other traffic participants. This …

Recent research in automated highway systems has ranged from low-level vision-based
controllers to high-level route-guidance software. However there is currently no system for …

To reduce the number of collision fatalities at crossroads intersections, many countries have
started replacing intersections with non-signalized roundabouts, forcing the drivers to be …

Recently, automated driving has more and more been transformed from an exciting vision
into hands on reality by prototypes. While drivers are used to assistance and maybe even …

Safety requirements are among the most ambitious challenges for autonomous guidance
and control of automobiles. A human-like understanding of the surrounding traffic scene is a …