| Paper Abstract and Keywords |
| Presentation |
2026-06-04 16:30
[Invited Talk]
Acoustic propagation simulation for echo-based object detection Daisuke Muto (Hitachi) SIS2026-7 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Acoustic waves are widely recognized as one of the most effective means of object detection. In underwater environments, electromagnetic waves—including light—undergo severe attenuation and therefore cannot propagate over long distances. As a result, both communication and detection rely almost entirely on acoustics. In an acoustic detection system, parameters such as the transmitter location, transmission frequency, and pulse duration, as well as the placement and number of receiving arrays, must be appropriately designed within allowable constraints according to the expected size and range of the target object. To support the design of such acoustic detection systems, numerical prediction of received sound waves and acoustic images is commonly performed in advance. In acoustic detection, transmitted sound waves with wavelengths sufficiently short relative to the target dimensions are employed. Under these high frequency conditions, Acoustic Ray Theory is an effective method for predicting acoustic propagation. However, accurately predicting backscattering from a target using ray theory requires an increased number of emitted acoustic rays, which introduces a trade-off between computational cost and the accuracy of the reproduced received sound waves. In this study, we investigate the relationship between the number of radiated acoustic rays and the accuracy of reproduced received sound waves in acoustic detection performance prediction based on Acoustic Ray Theory. Furthermore, to improve the efficiency of software development, maintenance, and management, we propose the utilization of existing optical ray-tracing libraries. The challenges associated with their application and corresponding solutions are discussed, and several representative computational examples are presented. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Echolocation / Object detection / Acoustic propagation simulation / Acoustic Ray Theory / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 126, no. 54, SIS2026-7, pp. 33-33, June 2026. |
| Paper # |
SIS2026-7 |
| Date of Issue |
2026-05-28 (SIS) |
| 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 |
SIS2026-7 |
| Conference Information |
| Committee |
SIS |
| Conference Date |
2026-06-04 - 2026-06-05 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Iwaki Business Innovation Center |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Intelligent Multimedia Systems, Applied Embedded Systems, Three-Dimensional Image Technology (3DIT), etc. |
| Paper Information |
| Registration To |
SIS |
| Conference Code |
2026-06-SIS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Acoustic propagation simulation for echo-based object detection |
| Sub Title (in English) |
|
| Keyword(1) |
Echolocation |
| Keyword(2) |
Object detection |
| Keyword(3) |
Acoustic propagation simulation |
| Keyword(4) |
Acoustic Ray Theory |
| Keyword(5) |
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| 1st Author's Name |
Daisuke Muto |
| 1st Author's Affiliation |
Hitachi, Ltd (Hitachi) |
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| Speaker |
Author-1 |
| Date Time |
2026-06-04 16:30:00 |
| Presentation Time |
60 minutes |
| Registration for |
SIS |
| Paper # |
SIS2026-7 |
| Volume (vol) |
vol.126 |
| Number (no) |
no.54 |
| Page |
p.33 |
| #Pages |
1 |
| Date of Issue |
2026-05-28 (SIS) |
|