Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …

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 …

The autonomous vehicle is regarded as a promising technology with the potential to
reshape mobility and solve many traffic issues, such as accessibility, efficiency …

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 …

This paper provides a survey of recent works on cognitive cars with a focus on driver-
oriented intelligent vehicle motion control. The main objective here is to clarify the goals and …

Detecting vehicle turn signals at night is critical for both assistant driving systems and
autonomous driving systems. In this paper, we propose a novel method that consists of …

In nighttime images, vehicle detection is a challenging task because of low contrast and
luminosity. In this article, the authors combine a novel region-of-interest (ROI) extraction …

Neuromorphic photonics is a cutting-edge fusion of neuroscience-inspired computing and
photonics technology to overcome the constraints of conventional computing architectures …

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

The quality of any tracking-by-assignment hinges on the accuracy of the foregoing target
detection/segmentation step. In many kinds of images, errors in this first stage are …