Using Self-adapting Navigation Data for Intelligent, Personalized Vehicle Guidance.

Even though computer-based navigation systems, being developed since the late 1980s, are still among the key topics worked on in information technology and the road network changes circa 15% per year, there are no significant possibilities for individual update and adjustment of the digital map data. In this paper, we present the concepts of our software system under development, which aims at the automatic construction and extension of digital maps, thus enabling continuous improvement of their quality as well as allowing for advanced, intelligent, and personalizable navigation, depending on user behavior and preference. This approach comprises an appropriate processing of the raw data, reliable graph optimization and merging techniques, and finally, suitable data exchange interfaces. [ABSTRACT FROM AUTHOR]