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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
A. Wahyudin
Universitas Sriwijaya
Computer Science & IT Electrical & Electronics Engineering

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The Detection System of Helipad for Unmanned Aerial Vehicle Landing Using YOLO Algorithm Bhakti Yudho Suprapto; A. Wahyudin; Hera Hikmarika; Suci Dwijayanti
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 7, No 2 (2021): August
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v7i2.20684

Abstract

The challenge with using the Unmanned Aerial Vehicle (UAV) is when the UAV makes a landing. This problem can be overcome by developing a landing vision through helipad detection. This helipad detection can make it easier for UAVs to land accurately and precisely by detecting the helipad using a camera. Furthermore, image processing technology is used on the image produced by the camera. You Only Look Once (YOLO) is an image processing algorithm developed to detect objects in real-time, and it is the result of the development of one of the Convolutional Neural Network (CNN) algorithm methods. Therefore, in this study the YOLO method was used to detect a helipad in real-time. The models used in the YOLO algorithm were Mean-Shift and Tiny YOLO VOC. The Tiny YOLO VOC model performed better than the Mean-Shift method in detecting helipads. The test results obtained a confidence value of 91.1%, and the system processing speed reached 35 frames per second (fps) in bright conditions and 37 fps in dark conditions at an altitude of up to 20 meters.
Co-Authors Bhakti Yudho Suprapto Hera Hikmarika Suci Dwijayanti