Multitek Indonesia : Jurnal Ilmiah
Vol 13, No 1 (2019): Juli

DETEKSI DAN PREDIKSI TRAJEKTORI OBJEK BERGERAK DENGAN OMNI-VISION MENGGUNAKAN PSO-NN DAN INTERPOLASI POLYNOMIAL

Novendra Setyawan (Universitas Muhammadiyah Malang)
Nur Alif Mardiyah (Universitas Muhammadiyah Malang)
Khusnul Hidayat (Universitas Muhammadiyah Malang)

Article Info

Publish Date
04 Aug 2019

Abstract

In the Indonesian wheeled soccer robot competition in one team consists of three robots, where one robot is a goalkeeper. In the competition the movement of robots and balls is very dynamic. So that a method is needed to predict the movement of the ball so that the goalkeeper can anticipate the movement of the ball. In this research the ball detected by digital image processing and Particle Swarm Optimization-Neural Network (PSO-NN) is used as a calibration model for object distance through omnidirectional cameras. The interpolation approach of the polynomial curve is used to obtain estimates of the model from two-dimensional data from detected objects. The results showed that the distance conversion in object detection with the PSO-NN model obtained 0.13% in percentage of average squared error (PMSE) measurement and  20% in an average prediction error.

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Journal Info
Multitek Indonesia : Jurnal Ilmiah
Website

Abbrev

multitek

Publisher

Universitas Muhammadiyah Ponorogo

Subject

Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering

Description

Multitek Indonesia : Jurnal Ilmiah is a journal published by the Technic Faculty, Universitas Muhammadiyah Ponorogo (Unmuh Ponorogo) in collaboration with Universitas Muhammadiyah Ponorogo Research and Community Service. Published twice a year (June and Desember), contains six to ten articles and ...