Precise and robust localization in real-world traffic scenarios is a new challenge arising in
the context of autonomous driving and future driver assistance systems. The required …

Ambitious driver assistance for complex urban scenarios demands a complete awareness of
the situation, including all moving and stationary objects that limit the free space. Recent …

Navigational assistance aims to help visually-impaired people to ambulate the environment
safely and independently. This topic becomes challenging as it requires detecting a wide …

Lane detection, lane tracking, or lane departure warning have been the earliest components
of vision-based driver assistance systems. At first (in the 1990s), they have been designed …

Vision-based map-matching with HD map for high precision vehicle localization has gained
great attention for its low-cost and ease of deployment. However, its localization …

Correlation based stereo vision has proven its power in commercially available driver
assistance systems. Recently, real-time dense stereo vision has become available on …

In August 2013, the modified Mercedes-Benz SClass S500 Intelligent Drive (“Bertha”)
completed the historic Bertha-Benz-Memorial-Route fully autonomously. The self-driving …

Despite the availability of lane departure and lane keeping systems for highway assistance,
unmarked and winding rural roads still pose challenges to lane recognition systems. To …

For future driver assistance systems and autonomous vehicles, the road course, ie, the width
and shape of the driving path, is an important source of information. In this paper, we …

Vision-based lane-detection methods provide low-cost density information about roads for
autonomous vehicles. In this paper, we propose a robust and efficient method to expand the …