Lane detection and tracking is one of the key features of advanced driver assistance system.
Lane detection is finding the white markings on a dark road. Lane tracking use the …

A critical issue in autonomous vehicle navigation and advanced driver assistance systems
(ADAS) is the accurate real-time detection of traffic lights. Typically, vision-based sensors …

Abstract According to WHO, 1.35 million people, every year are cut short in road accidents,
most of them caused due to human misconduct and ignorance. To improve safety over the …

In this paper, we design a driver behavior monitoring and warning (DBMW) framework to
detect dangerous driving for enhancing road safety through the Internet of Vehicles (IoV) …

Lane-level digital maps are crucial to advanced driver assistance systems (ADAS) and
autonomous driving, since they can simplify driving tasks and enhance system performance …

This paper presents a centimeter-grade metropolitan positioning (CGMP) framework for
achieving lane-level localization through Internet of Vehicles (IoV) communications. The …

This paper presents a robust, efficient lane-marking feature extraction method using a graph
model-based approach. To extract the features, the proposed hat filter with adaptive sizes is …

Lane-level digital maps can simplify driving tasks for robotic cars as well as enhance
performance and reliability for advanced driver assistance systems (ADAS) by providing …

In this work, a novel lane detection method using a single input image is presented. The
proposed method adopts a color and shadow invariant preprocessing stage including a …

As vehicular traffic continues to grow traffic management and prevention of accidents has
become a major concern. This problem only gets magnified when travel on the mountainous …