This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

Deep learning (DL) has become a core component of modern artificial intelligence (AI),
driving significant advancements across diverse fields by facilitating the analysis of complex …

Lane detection plays a vital role in making the idea of the autonomous car a reality.
Traditional lane detection methods need extensive hand-crafted features and post …

Autonomous driving has witnessed rapid development with the application of artificial
intelligence technology in recent years. Lane detection is one of the tasks of environment …

The research field of autonomous self-driving vehicles has recently become increasingly
popular. In addition, motion-planning technology is essential for autonomous vehicles …

Objectives The development of high definition (HD) map is of paramount importance in
advancing the digital infrastructure of transportation and serves as a fundamental …

Lanes play a very critical and important role in maintaining the orderly operation of road
traffic. Therefore, the automatic lane detection is very important and has significant potential …

Deep Neural Networks (DNN) have emerged as an effective approach to tackling real-world
problems. However, like human-written software, DNNs are susceptible to bugs and attacks …

Visual perception plays a vital role in autonomous driving systems, demanding high
accuracy and real-time inference speed to ensure safety. In this paper, we propose a multi …

The advances in lane detection technologies and computer vision enabled the evolution of
lane-keeping systems, driver assistance and lane departure warning in traffic management …