Modern lane detection methods have achieved remarkable performances in complex real-
world scenarios, but many have issues maintaining real-time efficiency, which is important …

Autonomous driving is a promising way to future safe, efficient, and low-carbon
transportation. Real-time accurate target detection is an essential precondition for the …

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

Advanced driver assistance systems (ADAS) are designed to improve vehicle safety.
However, it is difficult to achieve such benefits without understanding the causes and …

Robust lane detection is imperative for the realization of intelligent transportation. Recently,
vision-based systems that employ deep convolution neural networks (CNNs) for lane …

Automatic pedestrian lane detection is a challenging problem that is of great interest in
assistive navigation and autonomous driving. Such a detection system must cope well with …

Robust road region extraction plays a crucial role in many computer vision applications,
such as automated driving and traffic video analytics. Various weather and illumination …

Establishing the current road type constitutes a significant assistance to car drivers, as, by
default, the road type determines the legal speed limit. Although there are GPS‐and map …

This paper presents an improved lane detection algorithm using an adaptive ant colony
optimisation (aACO) based edge detection technique. In the paper, we first modified the …

Lane detection on roads is essential for autonomous vehicles. Most previous studies
detected the area of the road and all possible lanes built on it, whereas only the specific lane …