TY - GEN
T1 - Using self-adapting navigation data for intelligent, personalized vehicle guidance
AU - Vesely, Michal
AU - Mayr, Herwig
N1 - Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
KW - ADAS
KW - Digital maps
KW - GPS
KW - Incremental update
KW - Navigation personalization
UR - http://www.scopus.com/inward/record.url?scp=38449102135&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-75867-9_137
DO - 10.1007/978-3-540-75867-9_137
M3 - Conference contribution
SN - 9783540758662
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1097
EP - 1104
BT - Computer Aided Systems Theory - EUROCAST 2007 - 11th International Conference on Computer Aided Systems Theory, Revised Selected Papers
PB - Springer
T2 - 11th International Conference on Computer Aided Systems Theory, EUROCAST 2007
Y2 - 12 February 2007 through 16 February 2007
ER -