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