Title :
Road reconstruction by image analysis for an autonomous vehicle for protection of mobile working sites
Author :
Lailler, C. ; Deparis, J.P. ; Postaire, J.-G.
Author_Institution :
Centre d´´Autom., Univ. des Sci. et Technol. de Languedoc, Villeneuve d´´Ascq, France
fDate :
29 Jun-1 Jul 1992
Abstract :
The authors present a method to analyse white line images for visual navigation of an autonomous vehicle. The procedure results from a tradeoff between robustness and real-time performance. With a very low cost image processor architecture, the system takes about one second to compute the model of the white lines when the road is straight, and about three seconds when the vehicle faces a curve. The authors are working on the integration of this line image recognition module with the control module. The problem is to use the result of the visual reconstruction of the lines painted on the road to determine the vehicle mobility commands required to follow these lines
Keywords :
automobiles; computerised navigation; image reconstruction; 1 s; 3 s; autonomous vehicle; image analysis; mobile working site protection; real-time performance; road reconstruction; robustness; vehicle mobility commands; visual navigation; white line images; Computer architecture; Costs; Image analysis; Image recognition; Image reconstruction; Mobile robots; Navigation; Remotely operated vehicles; Road vehicles; Robustness;
Conference_Titel :
Intelligent Vehicles '92 Symposium., Proceedings of the
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-0747-X
DOI :
10.1109/IVS.1992.252276
