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 presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …

Existing night vehicle detection methods mainly detect vehicles by detecting headlights or
taillights. However, these features are adversely affected by the complex road lighting …

In this paper, we propose a self-diagnosing intelligent highway surveillance system and
design effective solutions for both daytime and nighttime traffic surveillance. For daytime …

The preceding vehicles detection technique in nighttime traffic scenes is an important part of
the advanced driver assistance system (ADAS). This paper proposes a region tracking …

Vehicle intelligent front light system is one of the advanced driver assistance systems. Vision
based intelligent front light system is currently the research focus in this field. The purpose of …

In recent years, computer vision algorithms have become more powerful, which enabled
technologies such as autonomous driving to evolve rapidly. However, current algorithms …

Intelligent vehicle lighting systems aim at automatically regulating the headlights' beam to
illuminate as much of the road ahead as possible while avoiding dazzling other drivers. A …

A novel method for vehicle detection and tracking, which is capable to correctly detect and
track vehicle headlights in rural and urban areas is presented. The detection procedure …

This paper describes a new method and control process for an optical headlight design. A
series of experiments were conducted to demonstrate the projection angle of headlights …