Open Access
Advances in Science, Technology and Engineering Systems, volume 4, issue 1, pages 248-257
Observing and forecasting the trajectory of the thrown body with use of genetic programming
Publication type: Journal Article
Publication date: 2019-01-01
Quartile SCImago
— Quartile WOS
—
Impact factor: —
ISSN: 24156698
Physics and Astronomy (miscellaneous)
Management of Technology and Innovation
Engineering (miscellaneous)
Abstract
Article history: Received: 06 January, 2019 Accepted: 28 January, 2019 Online : 20 February, 2019 Robotic catching of thrown objects is one of the common robotic tasks, which is explored in a number of papers. This task includes subtask of tracking and forecasting the trajectory of the thrown object. Here we propose an algorithm for estimating future trajectory based on video signal from two cameras. Most of existing implementations use deterministic trajectory prediction and several are based on machine learning. We propose a combined forecasting algorithm where the deterministic motion model for each trajectory is generated via the genetic programming algorithm. Object trajectory is extracted from video sequence by the image processing algorithm, which include Canny edge detection, Random Sample Consensus circle recognition and stereo triangulation. After that rajectory is forecasted using proposed method. Numerical experiments with real trajectories of the thrown tennis ball show that the algorithm is able to forecast the trajectory accurately.
Citations by journals
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1
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Sensors
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Sensors
1 publication, 33.33%
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IEEE Transactions on Cybernetics
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IEEE Transactions on Cybernetics
1 publication, 33.33%
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Visual Computer
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Visual Computer
1 publication, 33.33%
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1
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Citations by publishers
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1
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 33.33%
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IEEE
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IEEE
1 publication, 33.33%
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Springer Nature
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Springer Nature
1 publication, 33.33%
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1
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Mironov K., Gayanov R., Kurennov D. Observing and forecasting the trajectory of the thrown body with use of genetic programming // Advances in Science, Technology and Engineering Systems. 2019. Vol. 4. No. 1. pp. 248-257.
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Mironov K., Gayanov R., Kurennov D. Observing and forecasting the trajectory of the thrown body with use of genetic programming // Advances in Science, Technology and Engineering Systems. 2019. Vol. 4. No. 1. pp. 248-257.
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TY - JOUR
DO - 10.25046/aj040124
UR - https://doi.org/10.25046%2Faj040124
TI - Observing and forecasting the trajectory of the thrown body with use of genetic programming
T2 - Advances in Science, Technology and Engineering Systems
AU - Mironov, Konstantin
AU - Gayanov, Ruslan
AU - Kurennov, Dmiriy
PY - 2019
DA - 2019/01/01 00:00:00
PB - ASTES Publishers
SP - 248-257
IS - 1
VL - 4
SN - 2415-6698
ER -
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@article{2019_Mironov,
author = {Konstantin Mironov and Ruslan Gayanov and Dmiriy Kurennov},
title = {Observing and forecasting the trajectory of the thrown body with use of genetic programming},
journal = {Advances in Science, Technology and Engineering Systems},
year = {2019},
volume = {4},
publisher = {ASTES Publishers},
month = {jan},
url = {https://doi.org/10.25046%2Faj040124},
number = {1},
pages = {248--257},
doi = {10.25046/aj040124}
}
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Mironov, Konstantin, et al. “Observing and forecasting the trajectory of the thrown body with use of genetic programming.” Advances in Science, Technology and Engineering Systems, vol. 4, no. 1, Jan. 2019, pp. 248-257. https://doi.org/10.25046%2Faj040124.
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