DocumentCode :
661145
Title :
A weighted matrix algorithm for vision based lane following in autonomous navigation
Author :
Farooq, Umar ; Gu, Jhen-Fong ; Amar, Muhammad ; Asad, Muhammad Usman ; Rafiq, Faiqa
Author_Institution :
Dept. of Electr. Eng., Univ. of The Punjab, Lahore, Pakistan
fYear :
2013
fDate :
10-12 Sept. 2013
Firstpage :
286
Lastpage :
293
Abstract :
A weighted matrix algorithm (WMA) for vision based lane following in autonomous navigation is presented. After extracting the drivable region from images, the proposed algorithm is applied to divide the drivable region in lanes. A fuzzy logic controller is then employed to generate the steering and speed commands for lane following. Real time experimentation on a designed vehicle has validated the approach for lane following behavior.
Keywords :
feature extraction; fuzzy control; matrix algebra; mobile robots; navigation; path planning; robot vision; autonomous navigation; drivable region extraction; fuzzy logic controller; speed commands generation; steering commands generation; vision based lane following behavior; weighted matrix algorithm; Histograms; Microcontrollers; Navigation; Roads; Robots; Sensors; Vehicles; Weighted matrix algorithm (WMA); autonomous navigation; fuzzy logic; lane following;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information Management (ICDIM), 2013 Eighth International Conference on
Conference_Location :
Islamabad
Print_ISBN :
978-1-4799-0613-0
Type :
conf
DOI :
10.1109/ICDIM.2013.6693971
Filename :
6693971
Link To Document :
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