Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Statistics show that worldwide motor vehicle collisions lead to significant deaths and
disabilities as well as substantial financial costs to both society and the individuals involved …

Curve is the traffic accident-prone area in the traffic system of the structural road. How to
effectively detect the lane-line and timely give the traffic information ahead for drivers is a …

Traffic congestion is a significant problem in crowded cities, resulting in increased travel
times, air pollution, and reduced productivity. High-occupancy vehicle (HOV) lanes have …

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) …

Autonomous vehicles have recently been very popular and it seems to be causing a major
transformation in the automotive industry. A vital component for autonomous vehicles is lane …

An Otsu-threshold-and Canny-edge-detection-based fast Hough transform (FHT) approach
to lane detection was proposed to improve the accuracy of lane detection for autonomous …

This paper proposes a novel algorithm for lane detection based on inverse perspective
transformation and Kalman filter. A simple inverse perspective transformation method is …

Lane recognition is important for safe driving in structured road environment; it is becoming
an indispensable part of the advanced driver-assistance system (ADAS) for active security …

Lane detection is a challenging problem. It has attracted the attention of the computer vision
community for several decades. Essentially, lane detection is a multifeature detection …