Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
Vol 6, No 1 (2020): June

Road and Vehicles Detection System Using HSV Color Space for Autonomous Vehicle

Aulia Ghaida (Universitas Sriwijaya)
Hera Hikmarika (Universitas Sriwijaya)
Suci Dwijayanti (Universitas Sriwijaya)
Bhakti Yudho Suprapto (Universitas Sriwijaya)



Article Info

Publish Date
26 Jul 2020

Abstract

Nowadays, an autonomous vehicle is one of the fastest-growing technologies. In its movements, the autonomous vehicle requires a good navigation system to run on the specified lane. One sensor that is often used in navigation systems is the camera. However, this camera is constrained by the process and its reading, especially to detect roads that are suitable for the vehicle's position. Thus, this research was conducted to detect the road and distance of nearby objects using the HSV color space method. From the test results, this research succeeded in detecting roads with an accuracy of 78.012 %, and an accuracy of 80% for the safe/unsafe area detection. The results also showed that the method achieved an accuracy of 80% and 74.76%for object detection and object distance detection, respectively. The results of this research implied that the HSV method wasquite good with fairly high accuracy to detect roads and vehicles.

Copyrights © 2020






Journal Info

Abbrev

JITEKI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

JITEKI (Jurnal Ilmiah Teknik Elektro Komputer dan Informatika) is a peer-reviewed, scientific journal published by Universitas Ahmad Dahlan (UAD) in collaboration with Institute of Advanced Engineering and Science (IAES). The aim of this journal scope is 1) Control and Automation, 2) Electrical ...