Title :
Global environment interpretation from a new Mobile Mapping System
Author :
Smadja, Laurent ; Ninot, Jérôme ; Gavrilovic, Thomas
Author_Institution :
VIAMETRIS, Laval, France
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;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2010 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-7866-8
DOI :
10.1109/IVS.2010.5547972
