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

Suprapto, Bhakti Yudho and Dwijayanti, Suci (2020) Road and Vehicles Detection System Using HSV Color Space for Autonomous Vehicle. Universitas Ahmad Dahlan, Yogyakarta.

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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. In addition, the road without lane-markings is difficult to be detected. Thus, this research was conducted to detect the road without lane-markings and distance of nearby objects using the Hue, Saturation, and Value (HSV) color space method. This HSV method is widely used to detect objects by considering the color of the object. From the test results, this research succeeded in detecting roads with an accuracy of 79.02 %, 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 was quite good with fairly high accuracy to detect roads and vehicles.

Item Type:	Other
Subjects:	#3 Repository of Lecturer Academic Credit Systems (TPAK) > Corresponding Author
Divisions:	03-Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User:	Mr. Bhakti Suprapto
Date Deposited:	28 Apr 2023 23:17
Last Modified:	28 Apr 2023 23:17
URI:	http://repository.unsri.ac.id/id/eprint/98030

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