A destination prediction method using driving contexts and trajectory for car navigation systems

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A destination prediction method using driving contexts and trajectory for car navigation systems

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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents

Honolulu, Hawaii

SESSION: Mobile computing and applications track table of contents

Pages 190-195

Year of Publication: 2009

ISBN:978-1-60558-166-8

Authors

Kohei Tanaka	Osaka University
Yasue Kishino	NTT Communication Science Laboratories
Tsutomu Terada	Kobe University
Shojiro Nishio	Osaka University

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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ABSTRACT

Car navigation systems provide the best route to a destination quickly and effectively. However, during daily driving, this information is not necessary since drivers already know the route to the destination very well. In addition, it is time-consuming for drivers to input the destination. Thus, our research group has proposed a new car navigation system that provides information related to the destination by predicting the user's destination automatically. We propose the use of a new method that predicts the destination on the basis of the driving trajectory and the contexts in which the user drives. A system that uses our method knows the destination without user interaction and provides information related to the correct destination.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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