Prior research has shown that various road marker classification mechanisms in clear or dry
weather conditions have high accuracy performance. However, the performance tends to be …

Deep learning and machine learning are becoming more extensively adopted artificial
intelligence techniques for machine vision problems in everyday life, giving rise to new …

Road scene understanding, as a field of research, has attracted increasing attention in
recent years. The development of road scene understanding capabilities that are applicable …

Driving vehicles in all-weather conditions is challenging as the lane markers tend to be
unclear to the drivers for detecting the lanes. Moreover, the vehicles will move slower hence …

This article is a study on the rapid analysis and detection algorithm and preventive
countermeasures of urban traffic accidents under the artificial intelligence threshold. First of …

Road lane detection systems play a crucial role in the context of Advanced Driver Assistance
Systems (ADASs) and autonomous driving. Such systems can lessen road accidents and …

Road markers provide vital information ensuring safe vehicle manoeuvring on the road.
Illumination condition, especially shadow, is the major contributor to the false detection of …

Road markers guide the driver while driving on the road to control the traffic for the safety of
the road users. With the booming autonomous car technology, the road markers …

Road safety is paramount and depends on different factors, one of which is road makers. To
regulate the road traffic while ensuring its safety, several common types of road markers are …