Disparity analysis for real time obstacle detection by linear stereovision

Author

Bruyelle, J.L. ; Postaire, J.-G.

Author_Institution

Centre d´´Autom., Univ. des Sci. et Technol. de Languedoc, Villeneuve d´´Ascq, France

fYear

1992

fDate

29 Jun-1 Jul 1992

Firstpage

51

Lastpage

56

Abstract

A new approach is presented for real-time obstacle detection in front of moving cars by computer vision. The experimental set-up makes use of two line-scan cameras in order to analyse the scene in front of the vehicle. The camera calibration, based on a procedure specifically developed for line-scan stereo vision, allows the system to know precisely where a point of the real world appears in each of the two linear images. Prominent features in the linear images are extracted by a differential operator and matched by means of a correlation measure of similarity

Keywords

automobiles; feature extraction; image recognition; real-time systems; camera calibration; computer vision; correlation; differential operator; disparity analysis; feature extraction; linear images; linear stereovision; real time obstacle detection; Calibration; Cameras; Image motion analysis; Image sequence analysis; Layout; Optical sensors; Roads; Stereo vision; Vehicle safety; Vehicles;

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.1992.252232

Filename

252232