AN EFFICIENT ALGORITHM FOR IMPLEMENTING TRAFFIC SIGN DETECTION ON LOW COST EMBEDDED SYSTEM

Soetedjo, Aryuanto and Somawirata, I Komang (2018) AN EFFICIENT ALGORITHM FOR IMPLEMENTING TRAFFIC SIGN DETECTION ON LOW COST EMBEDDED SYSTEM. AN EFFICIENT ALGORITHM FOR IMPLEMENTING TRAFFIC SIGN DETECTION ON LOW COST EMBEDDED SYSTEM, 14 (1). pp. 1-14. ISSN 1349-4198 (Submitted)

[img] Text
Jurnal Aryu-2018-2 Efficient Algorithm.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.
Download (489kB)
[img] Text
Jurnal_Aryu-2018-2 Cek plagiat Efficient Algorithm.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.
Download (4MB)
[img] Text
Peer review Jurnal Aryu-2018-2 Efficient Algorithm.pdf
Available under License Creative Commons Attribution Non-commercial Share Alike.
Download (1MB)

Abstract

This paper presents the implementation of traffic sign detection on a low cost embedded system. The proposed system consists of color thresholding, shape detection, and sign validation. An efficient color thresholding based on the red-blue angle color transformation (RBAT) and the normalized red color is employed to extract the red circular traffic sign in an image. Then an ellipse fitting technique is applied to detecting the circular sign. Further, a novel technique to validate the circular sign is proposed by employing the histogram of oriented gradient (HOG) which is calculated on the outer area of the sign. The experimental results show that the true positive rate of 0.92 and the precision of 0.97 could be achieved. The execution time of the proposed algorithm which is implemented on a Raspberry Pi Type 3 module is 48.17 ms. It provides a promising result for the real-time implementation. Keywords: Traffic sign detection, Embedded system, Color thresholding, Histogram of oriented gradient

Item Type: Article
Uncontrolled Keywords: Traffic sign detection, Embedded system, Color thresholding, Histogram of oriented gradient
Subjects: Engineering > Electrical Engineering
Divisions: Fakultas Teknologi Industri > Teknik Elektro S1
Depositing User: Ms Nunuk Yuli
Date Deposited: 10 Feb 2021 03:09
Last Modified: 22 Oct 2021 02:58
URI: http://eprints.itn.ac.id/id/eprint/5308

Actions (login required)

View Item View Item
Eprints ITN Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.