Title :
Traffic sign extract and recognition on unmanned vehicle using image processing based on support vector machine
Author :
Min, Kyung-in ; Oh, Jae-Saek ; Kim, Byong-Woo
Author_Institution :
Grad. Sch. of Automotive Eng., Kookmin Univ., Seoul, South Korea
Abstract :
Recently, technology providing to information about road infrastructure has been developed. The information was obtained to acquire image through camera. It prevents an accident using technology measure the distances from front vehicle in advance. Also, it was used recognize lane and prevent to drop out of lane using measured distance from wheel to lane. We also get more information about road sign furnished traffic environments. Therefore, to recognize road sign can be flexible in responding to automated driving system and safe driving system. This paper based on UGV (Unmanned Ground Vehicle).
Keywords :
control engineering computing; feature extraction; mobile robots; object recognition; remotely operated vehicles; road safety; road vehicles; robot vision; support vector machines; traffic engineering computing; automated driving system; image processing; road infrastructure; safe driving system; support vector machine; traffic sign extraction; traffic sign recognition; unmanned ground vehicle; Cameras; Educational institutions; Image color analysis; Image edge detection; Roads; Support vector machines; Vehicles; Classification; Image Processing; Pattern Recognition; SVM (Support Vector Machine); UGV (Unmanned Ground Vehicle); Vision System;
Conference_Titel :
Control, Automation and Systems (ICCAS), 2011 11th International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4577-0835-0
