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| Presentation | 2019-01-29 14:25 [Poster Presentation] An Optimization of Drone Flight Plan based on Simulation for Precise Three-Dimensional Reconstruction Tatsuya Kobayashi, Zhang Heming, Shin Kawai, Hajime Nobuhara (Univ. Tsukuba)  ASN2018-95 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In the present three-dimensional reconstruction scheme using drone, various parameters such as the photographing position of the drones and the number of photos are based on the intuition and experience of the operator in many cases. There is room for optimizing reconstruction accuracy by adjusting them. In this study, we construct a scheme to automatically attempt and optimize combinations of various parameters within Drone's flight simulator, independent of operator's intuition and experience. By using Bayesian optimization, we solves the problem that many combinations can not be attempted because 3-dimensional reconstruction for combinations of parameters takes much calculation cost. In this study, we show the effectiveness of the proposed method by optimizing the number of images and the flight altitude using Bayesian optimization in the flight simulator of Drone. As a result, by using Bayesian optimization, the error of Three-dimensional reconstruction could be reduced by 0.49 times as compared with the case without Bayesian optimization. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Drone / Structure from Motion / 3D-reconstruction / Bayesian optimization / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 428, ASN2018-95, pp. 89-93, Jan. 2019. | |
| Paper # | ASN2018-95 | |
| Date of Issue | 2019-01-21 (ASN) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | ASN2018-95 |
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| Conference Information | |
| Committee | ASN |
| Conference Date | 2019-01-28 - 2019-01-29 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kyuukamura Ibusuki |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Ambient intelligence, Sensor networks, Poster session, etc. |
| Paper Information | |
| Registration To | ASN |
| Conference Code | 2019-01-ASN |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Optimization of Drone Flight Plan based on Simulation for Precise Three-Dimensional Reconstruction |
| Sub Title (in English) | |
| Keyword(1) | Drone |
| Keyword(2) | Structure from Motion |
| Keyword(3) | 3D-reconstruction |
| Keyword(4) | Bayesian optimization |
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| 1st Author's Name | Tatsuya Kobayashi |
| 1st Author's Affiliation | University of Tsukuba (Univ. Tsukuba) |
| 2nd Author's Name | Zhang Heming |
| 2nd Author's Affiliation | University of Tsukuba (Univ. Tsukuba) |
| 3rd Author's Name | Shin Kawai |
| 3rd Author's Affiliation | University of Tsukuba (Univ. Tsukuba) |
| 4th Author's Name | Hajime Nobuhara |
| 4th Author's Affiliation | University of Tsukuba (Univ. Tsukuba) |
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| Speaker | Author-1 |
| Date Time | 2019-01-29 14:25:00 |
| Presentation Time | 60 minutes |
| Registration for | ASN |
| Paper # | ASN2018-95 |
| Volume (vol) | vol.118 |
| Number (no) | no.428 |
| Page | pp.89-93 |
| #Pages | 5 |
| Date of Issue | 2019-01-21 (ASN) |
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