DocumentCode :
2937046
Title :
Towards next-generation map making
Author :
Chen, Xin ; Stroila, Matei ; Lynch, James ; Alwar, Narayanan ; Kohlmeyer, Bard ; Bach, Jeff ; Hui, Roger
Author_Institution :
NAVTEQ Corp., Chicago, IL, USA
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
1676
Lastpage :
1683
Abstract :
In this paper, we present the image retrieval and computer vision applications implemented for massive mobile image data collection at NAVTEQ. This novel and comprehensive mobile data collection method captures ground level imageries around the world. Automatic image analysis and modeling provides NAVTEQ with next-generation map making capabilities. This allows NAVTEQ to exceed customers´ expectations by creating and maintaining digital maps that are timelier, complete, accurate, and which contain richer content.
Keywords :
Global Positioning System; computer vision; image retrieval; road safety; road vehicles; GPS; Global Positioning System; NAVTEQ; computer vision application; ground level imagery; image retrieval; massive mobile image data collection; next-generation map making; road safely; road vehicle; Application software; Computer vision; Image analysis; Image retrieval; Information retrieval; Mobile computing; GPS; detection; geo-reference; image; map; mobile collection; panoramic; recognition; reconstruction measurement; sign;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202843
Filename :
5202843
Link To Document :
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