Over the past decade, vision-based vehicle detection techniques for road safety
improvement have gained an increasing amount of attention. Unfortunately, the techniques …

Robust and efficient vehicle detection in monocular vision is an important task in Intelligent
Transportation Systems. With the development of computer vision techniques and …

Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …

The Internet of Vehicles (IoV) is an active area for innovation and an essential tool in
achieving smart cities through the integration of vehicles with the Internet of Things (IoT). IoV …

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 …

Autonomous driving in public roads requires precise localization within the range of few
centimeters. Even the best localization systems based on GNSS cannot always reach this …

In a previous paper, a simple approach to lane detection using the Hough transform and
iterated matched filters was described. This paper extends this work by incorporating an …

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 …

Lane-mark detection is one of the most important parts of the intelligent transportation
system (ITS). Cameras mounted in front of automobiles are used to capture the road scene …

For more than half a century, the Hough transform is ever-expanding for new frontiers.
Thousands of research papers and numerous applications have evolved over the decades …