DocumentCode :
817613
Title :
Artificial vision in road vehicles
Author :
Bertozzi, Massimo ; Broggi, Alberto ; Cellario, Massimo ; Fascioli, Alessandra ; Lombardi, Paolo ; Porta, Marco
Author_Institution :
Dipt. di Ingegneria dell´´Informazione, Parma Univ., Italy
Volume :
90
Issue :
7
fYear :
2002
fDate :
7/1/2002 12:00:00 AM
Firstpage :
1258
Lastpage :
1271
Abstract :
The last few decades have witnessed the birth and growth of a new sensibility to transportation efficiency. In particular the need for efficient and improved people and goods mobility has pushed researchers to address the problem of intelligent transportation systems. This paper surveys the most advanced approaches to (partial) customization of the road following task, using on-board systems based on artificial vision. The functionalities of lane detection, obstacle detection and pedestrian detection are described and classified, and their possible application in future road vehicles is discussed.
Keywords :
automated highways; computer vision; road vehicles; transportation; artificial vision; intelligent transportation systems; lane detection; obstacle detection; on-board systems; pedestrian detection; road following task; road vehicles; Artificial intelligence; Associate members; Intelligent transportation systems; Intelligent vehicles; Manufacturing automation; Navigation; Road vehicles; Vehicle detection; Vehicle driving; Vehicle safety;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/JPROC.2002.801444
Filename :
1032807
Link To Document :
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