TY - GEN
T1 - Ball Position Transformation with Artificial Intelligence Based on Tensorflow Libraries
AU - Setiawardhana,
AU - DIkairono, Rudy
AU - Dewantara, Bima Sena Bayu
AU - Pratama, Afis Asryullah
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/29
Y1 - 2021/9/29
N2 - Research on wheeled soccer robots has been carried out by several researchers. This is due to the existence of national and international competitions. Previous research was to create a ball position transformation system with a modified method of neural network architecture. This research was developed by building an intelligent transformation system with the Tensorflow library. This transformation system aims to be able to directly measure the distance of objects in real terms without first changing the environmental image from an omni field to a flat plane with conventional camera calibration techniques. This process can replace manual calibration with a variety of field size changes The system can transform with mean error 0.0000026 on epoch 10000 using 'conda-tensorflowneural network' libraries. It can transform the position of the ball from the omni space to the cartesian space. This system was implemented on wheeled soccer robot as keeper.
AB - Research on wheeled soccer robots has been carried out by several researchers. This is due to the existence of national and international competitions. Previous research was to create a ball position transformation system with a modified method of neural network architecture. This research was developed by building an intelligent transformation system with the Tensorflow library. This transformation system aims to be able to directly measure the distance of objects in real terms without first changing the environmental image from an omni field to a flat plane with conventional camera calibration techniques. This process can replace manual calibration with a variety of field size changes The system can transform with mean error 0.0000026 on epoch 10000 using 'conda-tensorflowneural network' libraries. It can transform the position of the ball from the omni space to the cartesian space. This system was implemented on wheeled soccer robot as keeper.
KW - neural network
KW - tensorflow
KW - transformation
KW - wheeled soccer robots
UR - http://www.scopus.com/inward/record.url?scp=85120001823&partnerID=8YFLogxK
U2 - 10.1109/IES53407.2021.9594013
DO - 10.1109/IES53407.2021.9594013
M3 - Conference contribution
AN - SCOPUS:85120001823
T3 - International Electronics Symposium 2021: Wireless Technologies and Intelligent Systems for Better Human Lives, IES 2021 - Proceedings
SP - 62
EP - 66
BT - International Electronics Symposium 2021
A2 - Yunanto, Andhik Ampuh
A2 - Kusuma N, Artiarini
A2 - Hermawan, Hendhi
A2 - Putra, Putu Agus Mahadi
A2 - Gamar, Farida
A2 - Ridwan, Mohamad
A2 - Prayogi, Yanuar Risah
A2 - Ruswiansari, Maretha
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Electronics Symposium, IES 2021
Y2 - 29 September 2021 through 30 September 2021
ER -