DocumentCode :
3134834
Title :
Obstacle and lane detection on ARGO
Author :
Bertozzi, Massimo ; Broggi, Alberto ; Conte, Gianni ; Fascioli, Alessandra
Author_Institution :
Parma Univ., Italy
fYear :
1997
fDate :
9-12 Nov 1997
Firstpage :
1010
Lastpage :
1015
Abstract :
Presents ARGO, the experimental land vehicle developed at the Dipartimento di Ingegneria dell´Informazione of the University of Parma, Italy. ARGO integrates the GOLD (generic obstacle and lane detection) system, a stereo vision-based hardware and software architecture that allows detection of both generic obstacles (without constraints on shape, color or symmetry) on flat roads and the lane position in structured environments (with painted lane markings). In addition, the paper presents an approach that allows us to handle also non-flat roads
Keywords :
automated highways; image sensors; navigation; object detection; road vehicles; stereo image processing; ARGO; GOLD system; experimental land vehicle; flat roads; generic obstacle and lane detection system; lane position; stereo vision-based hardware and software architecture; structured environments; Eyes; Gold; Hardware; Image resolution; Marine vehicles; Navigation; Road vehicles; Sleep; Software architecture; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation System, 1997. ITSC '97., IEEE Conference on
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-4269-0
Type :
conf
DOI :
10.1109/ITSC.1997.660612
Filename :
660612
Link To Document :
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