Over the past decade, vision-based vehicle detection techniques for road safety
improvement have gained an increasing amount of attention. Unfortunately, the techniques …

Developing on-board automotive driver assistance systems aiming to alert drivers about
driving environments, and possible collision with other vehicles has attracted a lot of …

Autonomous vehicle navigation is challenging since various types of road scenarios in real
urban environments have to be considered, particularly when only perception sensors are …

Driver-assistance systems that monitor driver intent, warn drivers of lane departures, or
assist in vehicle guidance are all being actively considered. It is therefore important to take a …

This paper describes the recent research on the enhancement of pedestrian safety to help
develop a better understanding of the nature, issues, approaches, and challenges …

BACKGROUND Autonomous vehicles use various computing systems to aid in the transport
of passengers from one location to another. Some autonomous vehicles may require an …

This paper presents investigations into the role of computer-vision technology in developing
safer automobiles. We consider vision systems, which cannot only look out of the vehicle to …

Robust and reliable vehicle detection from images acquired by a moving vehicle (ie, on-road
vehicle detection) is an important problem with applications to driver assistance systems and …

A lane-detection method aimed at handling moving vehicles in the traffic scenes is proposed
in this brief. First, lane marks are extracted based on color information. The extraction of lane …

Current research on advanced driver-assistance systems (ADASs) addresses the concept of
highly automated driving to further increase traffic safety and comfort. In such systems …