LITERATURE REVIEW : DETEKSI BOLA DENGAN METODE YOLO PADA SEPAK BOLA

Rivan Saghita Pratama (Universitas Negeri Semarang)
Indra Ramadhan (Universitas Negeri Semarang)
Niko Bagaskara (Universitas Negeri Semarang)
Vedo Septiano H (Universitas Negeri Semarang)

Didaktik : Jurnal Ilmiah PGSD STKIP Subang
Vol. 11 No. 02 (2025): Volume 11 No. 02 Juni 2025 In Order

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.