DocumentCode :
1452005
Title :
Machine-vision systems for intelligent transportation systems
Author :
Masaki, Lchiro
Author_Institution :
MIT, MA, USA
Volume :
13
Issue :
6
fYear :
1998
Firstpage :
24
Lastpage :
31
Abstract :
ITS can use machine vision to detect lane markings, vehicles, pedestrians, road signs, traffic conditions, traffic incidents, and even driver drowsiness. Challenges include making machine-vision systems less expensive, more compact, and more robust in various weather and traffic conditions
Keywords :
computer vision; traffic information systems; transportation; intelligent transportation systems; lane markings; machine vision systems; Cameras; Dynamic range; Humans; Image coding; Intelligent systems; Intelligent transportation systems; Machine intelligence; Machine vision; Space technology; TV;
fLanguage :
English
Journal_Title :
Intelligent Systems and their Applications, IEEE
Publisher :
ieee
ISSN :
1094-7167
Type :
jour
DOI :
10.1109/5254.735999
Filename :
735999
Link To Document :
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