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

fYear

2011

fDate

26-29 Oct. 2011

Firstpage

750

Lastpage

753

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems (ICCAS), 2011 11th International Conference on

Conference_Location

Gyeonggi-do

ISSN

2093-7121

Print_ISBN

978-1-4577-0835-0

Type

conf

Filename

6106292