DocumentCode
1668339
Title
A robust neural network multi-lane recognition system
Author
Dawoud, Amer K. ; Foda, Salah G. ; Tolba, Ahmad S.
Author_Institution
Dept. of Electr. & Comput. Eng., Kuwait Univ., Safat, Kuwait
fYear
1998
fDate
6/20/1905 12:00:00 AM
Firstpage
178
Lastpage
182
Abstract
In this paper, the design and neural implementation of a vision based multi-lane highway lane recognition system are presented. The design objective of the system is to recognize the lane which a test vehicle is currently driving through by determining its left and right lane boundaries. When the proposed lane recognition system was tested it showed very high percentage of correct results in very difficult circumstances which suggests that it provides the basis for a reliable road following system
Keywords
computer vision; computerised navigation; image recognition; neural nets; road vehicles; autonomous land vehicle; machine vision; multi-lane highway lane recognition system; navigation; road following system; road vehicle; robust neural network; Color; Image recognition; Matched filters; Navigation; Neural networks; Pixel; Road transportation; Road vehicles; System testing; Vehicle driving;
fLanguage
English
Publisher
ieee
Conference_Titel
Microelectronics, 1998. ICM '98. Proceedings of the Tenth International Conference on
Conference_Location
Monastir
Print_ISBN
0-7803-4969-5
Type
conf
DOI
10.1109/ICM.1998.825594
Filename
825594
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