Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …

The problem of road or lane perception is a crucial enabler for advanced driver assistance
systems. As such, it has been an active field of research for the past two decades with …

In the context of autonomous vehicles on highways, one of the first and most important tasks
is to localize the vehicle on the road. For this purpose, the vehicle needs to be able to take …

We present a weakly-supervised approach to segmenting proposed drivable paths in
images with the goal of autonomous driving in complex urban environments. Using recorded …

Lane detection is playing an indispensable role in advanced driver assistance systems. The
existing approaches for lane detection can be categorized as lane area segmentation and …

Many systems for autonomous vehicles' navigation rely on lane detection. Traditional
algorithms usually estimate only the position of the lanes on the road, but an autonomous …

Nowadays, Lane detection and tracking modules are considered as central requirements in
every Intelligent Transportation System (ITS) development. The extracted lane information …

Road detection is a crucial part of autonomous driving system. Most of the methods
proposed nowadays only achieve reliable results in relatively clean environments. In this …

Simple Summary This paper uses a fuzzy logic ruleset to automatically label the
traversability of the world as sensed by a LiDAR in order to learn a Deep Neural Network …