Vedo Septiano H
Universitas Negeri Semarang

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LITERATURE REVIEW : DETEKSI BOLA DENGAN METODE YOLO PADA SEPAK BOLA Rivan Saghita Pratama; Indra Ramadhan; Niko Bagaskara; Vedo Septiano H
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 11 No. 02 (2025): Volume 11 No. 02 Juni 2025 In Order
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v11i02.6419

Abstract

This study explores object recognition in soccer-playing robots using omnidirectional visual sensors and real-time YOLO detection. A systematic literature review of 52 articles (2020–2025) analyzes YOLO's development in robotic soccer. Findings show that robots can detect multiple objects like balls and goals in real-time with high accuracy. Factors such as lighting, object distance, and background complexity affect detection performance. The use of 360-degree cameras enhances the robots' ability to identify objects from all directions, improving their navigation and strategy during matches.