Texture analysis for road detection

Author

Fernandez-Maloigne, Christine ; LAUGIER, Daniele ; Bekkhoucha, Abdelkrim

Author_Institution

CNRS, Compiegne, France

fYear

1992

fDate

29 Jun-1 Jul 1992

Firstpage

219

Lastpage

224

Abstract

Automatic road detection for the guiding of autonomous vehicles is a current problem. But the majority of studies are connected with the detection of yellow (or white) lines or road signs. The present authors attempt to remove these constraints by using the information of texture. The image to be processed is divided into elementary squares of 10×10 pixels. For each defined region, a vector which is composed of Galloway´s parameters is calculated. The vector calculated makes possible the calculation of the resemblence between the region and the model of the road. The model is derived by the vector of Galloway´s parameters for the elementary squares of the road images. The reliability and the possible extension of the method are discussed

Keywords

encoding; image processing; image texture; navigation; road vehicles; 10 pixel; 100 pixel; Galloway´s parameters; automatic road detection; autonomous vehicles; image processing; image recognition; navigation; texture analysis; vector; Detectors; Dictionaries; Histograms; Image edge detection; Iron; Mobile robots; Regions; Remotely operated vehicles; Road vehicles; Vehicle detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Vehicles '92 Symposium., Proceedings of the

Conference_Location

Detroit, MI

Print_ISBN

0-7803-0747-X

Type

conf

DOI

10.1109/IVS.1992.252260

Filename

252260