Geometric-Topologic Description of a Complex Road Junction Considering the Requirements of Highly Automated Driving

== Abstract ==

The highly automated driving research is one of the most remarkable developments in the automotive world. Still, ordinary people can also realize the milestones facing more and more built-in vehicle assistant services brought by the new car manufacturers. The navigation system is also part of the 'success story' because the maps are currently high-resolution 3D databases, and permanently better visualization supports the drivers. The creation of these map databases relies on cutting-edge field data capture techniques, like aerial surveys. The paper presents a technology based on aerial photographs' evaluation done by human operators. The captured photographs were transformed into distortion-free orthophotos; then, skilled humans evaluated the expected database elements: road and lane segments. The map creation procedure aimed to serve the content fully compatible with the standards of the industry. This evaluation procedure resulted in a road and a lane-level graph, clearly in harmony with the traffic rules. The CAD-drawings of each operator form an excellent starting point to start new artificial intelligence developments.

== Full document ==
<pdf>Media:Draft_Content_486050110p6117.pdf</pdf>