Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brüntrup, R., Edelkamp, S., Jabbar, S., Scholz, B.: Incremental Map Generation with GPS Traces. In: Proc. 8th International IEEE Conference on Intelligent Transportation Systems, Vienna, Austria, pp. 413–418 (September 13-16, 2005)
eSafety Implementation Road Map Work Group: Final Report and Recommendations of the Implementation Road Map Working Group. eSafety Forum WG for Directorate-General Information Society of the European Commission (2005)
Freiseisen, W., Pau, P.: A Generic Plane-Sweep for Intersecting Line Segments. Res. Inst. for Symbolic Comuptation, J.K. University Linz, Austria. RISC-Linz Report Series No. 98-18 (1998)
Friedl, W.: The Registration Process in Transcranial Doppler Sonography (in German), Master’s Thesis, Department of Medical Software Engineering, Upper Austria University of Applied Sciences, Hagenberg, Austria (2004)
Grewal, M.S., Andrews, A.P.: Kalman Filtering: Theory and Practice Using MATLAB, 2nd edn. John Wiley & Sons, Chichester (2001)
Hofmann-Wellenhof, B., Lichtenegger, H., Collins, J.: GPS – Theory and Practice, 5th edn. Springer, New York (2001)
Mayr, H.: Model-Based Navigation Using GPS: One Step Closer to Intelligent, Incremental Maps. In: Proc. International Mediterranean Modelling Multiconference, Barcelona, Spain, pp. 641–646 (October 4-6, 2006)
Mayr, H.: I-Navigate: Intelligent, Self-adapting Navigation Maps. In: Proc. 14th IEEE International Conference and Workshop on the Engineering of Computer Based Systems, Tucson (AZ), USA, pp. 397–402 (March 26-29, 2007)
Otto, H.-U., Beuk, L., Aleksić, M., Meier, J., Löwenau, J., Flament, M., Guarise, A., Bracht, A., Capra, L., Bruns, K., Sabel, H.: ActMAP ISO Input. Technical Report D 3.3, ERTICO (2004)
Quddus, M., Noland, R., Ochieng, W.: Validation of Map Matching Algorithms Using High Precision Positioning with GPS. J. of Navigation 58, 257–272 (2005)
Schroedl, S., Wagstaff, K., Rogers, S., Langley, P., Wilson, C.: Mining GPS Traces for Map Refinement. Data Mining and Knowledge Discovery, series 9, 59–87 (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Veselý, M., Mayr, H. (2007). Using Self-adapting Navigation Data for Intelligent, Personalized Vehicle Guidance. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_137
Download citation
DOI: https://doi.org/10.1007/978-3-540-75867-9_137
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75866-2
Online ISBN: 978-3-540-75867-9
eBook Packages: Computer ScienceComputer Science (R0)