Lane detection on road segments with complex topologies such as lane merge/split and
highway ramps is not yet a solved problem. This paper presents a novel graph-embedded …

Currently, the automotive industry is experiencing three substantial changes of a
revolutionary character, the replacement of internal combustion engines by electric motors …

The paper contributes to the detection of driving on the wrong side of the road by addressing
in particular multi-lane road situations. We suggest a solution using video data of a single …

Lane recognition plays an important role in driver assistance systems. Many Lane
recognition methods have been proposed until now. But most methods are used to …

Vision‐based driver assistance systems (VB‐DAS) still assume a driver in the ego‐vehicle
(ie, that vehicle where the system operates in); autonomous driving can benefit from …

Vision-based driver assistance systems are designed for, and implemented in modern
vehicles, for improving safety and better comfort. This report reviews areas of research on …

This paper presents the processing of the drivable road recognition by multilayered LiDAR
and vision. Multilayered LiDAR information used for detecting a planetary region with …

Obstacle detection is the most important functionality in the field of autonomous vehicles.
One of the common challenges is detecting a narrow driving lane and navigating through it …

This chapter outlines the general context of the book. Autonomous driving is still at a stage
where drivers are expected to be in control of the vehicle at all times, but provided …

In this paper a vision based lane tracking and velocity dependant cruise control system is
presented as automatic highway system. The system developed, uses different image …