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