Autonomous vehicles (AVs) have now drawn significant attentions in academic and
industrial research because of various advantages such as safety improvement, lower …

Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

Driver-assistance systems that monitor driver intent, warn drivers of lane departures, or
assist in vehicle guidance are all being actively considered. It is therefore important to take a …

Deep learning has received significant attention recently as a promising solution to many
problems in the area of artificial intelligence. Among several deep learning architectures …

Lane detection is important in many advanced driver-assistance systems (ADAS). Vision-
based lane detection algorithms are widely used and generally use gradient information as …

Road detection is a key issue for autonomous driving in urban traffic. In this paper, after a
brief overview of existing methods, we present a road-area detection algorithm based on …

Lane boundary detection is the problem of estimating the geometric structure of the lane
boundaries of a road on the images captured by a camera. To be an intelligent vehicle, lane …

Road scene analysis is a challenging problem that has applications in autonomous
navigation of vehicles. An integral component of this system is the robust detection and …

Current research on advanced driver-assistance systems (ADASs) addresses the concept of
highly automated driving to further increase traffic safety and comfort. In such systems …

Many rural roads lack sharp, smoothly curving edges and a homogeneous surface
appearance, hampering traditional vision-based road-following methods. However, they …