This document provides a review of the past decade's literature in on-road vision-based
vehicle detection. Over the past decade, vision-based surround perception has matured …

This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …

This paper introduces a general active-learning framework for robust on-road vehicle
recognition and tracking. This framework takes a novel active-learning approach to building …

In this paper, we introduce a synergistic approach to integrated lane and vehicle tracking for
driver assistance. The approach presented in this paper results in a final system that …

In recent years, active learning has emerged as a powerful tool in building robust systems
for object detection using computer vision. Indeed, active learning approaches to on-road …

On the basis of a cost-effective embedded system, this work implements a preceding vehicle
detection system by using computer vision technologies. The road scenes are acquired with …

In recent years, the Viola and Jones rapid object detection approach became very popular.
One aspect why this approach achieved acceptance is the numerical efficient computation of …

This contribution introduces a novel approach to cross-calibrate automotive vision and
ranging sensors. The resulting sensor alignment allows the incorporation of multiple sensor …

A new approach for vehicle detection performs sensor fusion of a laser scanner and a video
sensor. This combination provides enough information to handle the problem of multiple …

In recent years, traffic flow controlling and monitoring have become important issues in
intelligent transportation systems (ITSs). For example, vehicle flow management can …