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
fDate :
7/1/2002 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2002.801444