DocumentCode
842954
Title
Rapidly adapting machine vision for automated vehicle steering
Author
Pomerleau, Dean ; Jochem, Todd
Author_Institution
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume
11
Issue
2
fYear
1996
fDate
4/1/1996 12:00:00 AM
Firstpage
19
Lastpage
27
Abstract
The Ralph vision system helps automobile drivers steer, by sampling an image, assessing the road curvature, and determining the lateral offset of the vehicle relative to the lane center. Ralph has performed well under extensive tests, including a coast-to-coast, 2,850-mile drive
Keywords
adaptive signal processing; adaptive systems; automated highways; automobiles; computer vision; expert systems; traffic engineering computing; Ralph vision system; automated vehicle steering; automobile drivers; image sampling; lane center; lateral vehicle offset; rapidly adapting machine vision; road curvature assessment; Artificial neural networks; Humans; Image sampling; Layout; Machine learning; Machine vision; Remotely operated vehicles; Road vehicles; Testing; Vehicle driving;
fLanguage
English
Journal_Title
IEEE Expert
Publisher
ieee
ISSN
0885-9000
Type
jour
DOI
10.1109/64.491277
Filename
491277
Link To Document