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