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 …

This paper reviews current developments and discusses some critical issues with obstacle
detection systems for automated vehicles. The concept of autonomous driving is the driver …

The paper presents an approach for detecting vehicles in urban traffic scenes by means of
rule-based reasoning on visual data. The strength of the approach is its formal separation …

Automated detection of vehicles in front is an integral component of many advanced driver-
assistance systems (ADAS), such as collision mitigation, automatic cruise control (ACC), and …

Detection of road boundaries and obstacles is essential for autonomous vehicle navigation.
In this paper, we propose a road boundary and obstacle detection method using a …

This paper presents an effective traffic surveillance system for detecting and tracking moving
vehicles in nighttime traffic scenes. The proposed method identifies vehicles by detecting …

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 …

An innovative system for detecting and extracting vehicles in traffic surveillance scenes is
presented. This system involves locating moving objects present in complex road scenes by …

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 …

Autonomous video surveillance and monitoring has a rich history. Many deployed systems
are able to reliably track human motion in indoor and controlled outdoor environments …