Autonomous driving is a topic in computer vision which has captured a great deal of
attention in recent years. One key problem is the detection and state analysis of traffic lights …

In this paper a classifier of road surfaces, visible from the front of the car, is presented. It is
intended to use in the driver assistance or the autonomous car systems. The classifier was …

Much past research related to road domain detection has focused on lane detection.
Commonly, this is performed by applying edge detection to a road image, then applying a …

Traffic light recognition belongs to the most difficult topics in the context of autonomous
driving. Most described systems in literature follow a classical object recognition approach …

In last couple of decades, the technological advancements in image and video processing
has brought great revolution in our life. Some of the key areas where these advancements …

This article proposes a model that combines the issues related to autonomous vehicles into
seven groups. The groups are included in mutual iterations between the user, the …

In this paper two applications, which fit into the current trend of the development of mobile
devices, are described. The first is designed for the driver and the second for the pedestrian …

Traffic light detection and recognition (TLR) research has grown every year. In addition,
Machine Learning (ML) has been largely used not only in traffic light research but in every …

In this paper the automatic vision-based mobile application for supporting the vehicle user is
proposed. The system, using the image taken with the typical smartphone camera …

Research on Traffic Light Recognition (TLR) has grown in recent years, primarily driven by
the growing interest in autonomous vehicles development. Machine Learning algorithms …