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 …

As one of the most promising applications of computer vision, vision-based vehicle detection
for driver assistance has received considerable attention over the last 15 years. There are at …

The application of machine vision to autonomous vehicles is an increasingly important area
of research with exciting applications in industry, defense, and transportation likely in …

In this paper, we propose a vision-based vehicle detection system. We use a method
composed of a hypothesis generation (HG) step and a hypothesis verification (HV) step …

Robust and reliable vehicle detection from images acquired by a moving vehicle is an
important problem with numerous applications including driver assistance systems and self …

Systems for automated image analysis are useful for a variety of tasks. Their importance is
still growing due to technological advances and increased social acceptance. Especially …

This paper describes a robust and reliable method of human detection for visual
surveillance systems. The merit of this method is to use simple shape parameters of …

Developing real-time traffic parameters surveillance systems based on video aiming to
extract reliable traffic state information has attracted a lot of attention during the past …

There has been an ever-increasing interest in research on traffic detection and traffic scene
understanding based on computer vision, driven by the increasing processor speed and the …

This paper presents a novel attention mechanism to improve stereo-vision based object
recognition systems in terms of recognition performance and computational efficiency at the …