Open AccessDevelopment of Ball Detection System with YOLOv3 in a Humanoid Soccer Robot
Author(s) -
Ariadie Chandra Nugraha,
Moad Hakim,
Sigit Yatmono,
Moh. Khairudin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2111/1/012055
Subject(s) - humanoid robot , ball (mathematics) , robot , artificial intelligence , computer science , computer vision , soccer robot , human–computer interaction , simulation , robot control , mobile robot , mathematics , mathematical analysis
One of the practical researches of humanoid robots is research on the use of humanoid robots to play soccer. Research in this field is also encouraged by the existence of various humanoid robot soccer competitions. In humanoid robots for soccer, one of the important aspects is the robot’s ability to detect the ball, goal, field boundaries and other players, both friend players and opposing players. This study focuses on the ball detection system which is a basic ability that humanoid robots need to have. The ball detection system developed in this study uses the YOLOv3 method. The test results show that the system built and trained with 3000 image samples can detect balls at a distance of 50 to 900 cm. The time it takes to detect the ball is about 0.033 seconds.