Global environment interpretation from a new Mobile Mapping System

Author

Smadja, Laurent ; Ninot, Jérôme ; Gavrilovic, Thomas

Author_Institution

VIAMETRIS, Laval, France

fYear

2010

fDate

21-24 June 2010

Firstpage

941

Lastpage

948

Abstract

We present in this article different algorithms designed for automatic road environment interpretation, from a large amount of data, acquired by embedded sensors. Road markings and traffic signs are extracted then interpreted by means of original image processing techniques whereas road geometry is computed through lidar range data analysis. The outputs of all these algorithms are gathered into a single tool, which manages a precise and global geographic database in order to produce advanced maps. These maps can further be used for intelligent navigation.

Keywords

image processing; intelligent sensors; optical radar; terrain mapping; traffic engineering computing; automatic road environment interpretation; embedded sensors; global environment interpretation; global geographic database; image processing techniques; intelligent navigation; lidar range data analysis; mobile mapping system; road geometry; road markings; traffic signs; Algorithm design and analysis; Computational geometry; Data analysis; Data mining; Image databases; Image processing; Laser radar; Navigation; Roads; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles Symposium (IV), 2010 IEEE

Conference_Location

San Diego, CA

ISSN

1931-0587

Print_ISBN

978-1-4244-7866-8

Type

conf

DOI

10.1109/IVS.2010.5547972

Filename

5547972