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Automatic Traffic Light Recognition for Mobile Robot Applications

Authors:
Chi-Hsun Chiang
Cheng-Kang Wen
Chun Mu Wu
Jung-Hua Chou

Keywords: traffic light; image processing; HOG; SVM; filters

Abstract:
In this study, we present a method to enhance the quality of traffic light images captured by a webcam using hardware filters for mobile robot applications. The images are processed through pre-processing, detection, and recognition steps to recognize the status of traffic lights. The results show that the status of traffic lights is recognized successfully; the overall recognition rate is about 99% while the recognition time is about 41ms to 76ms per frame. By using the method of support vector machine (SVM), the recognition rate is higher with the cost of a larger processing time.

Pages: 46 to 49

Copyright: Copyright (c) IARIA, 2018

Publication date: May 20, 2018

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-61208-638-5

Location: Nice, France

Dates: from May 20, 2018 to May 24, 2018