| Paper Abstract and Keywords |
| Presentation |
2024-01-19 15:50
[Invited Lecture]
Generation of Virtual City 3D Model for Pathloss Dataset Extension Rento Hagiwara, Koichi Ichige (Yokohama National Univ), Tatsuya Nagao, Takahiro Hyashi (KDDI Research Inc.) AP2023-185 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose a method to generate a 3D model of virtual cities for propagation data generation by ray tracing. When creating propagation estimation models using machine learning, propagation data created by simulations such as ray tracing may be used as training data. In this case, 3D models of the propagation environment is necessary, but there is a limit to the amount of 3D models that can be created based on real cities, and there is a possibility that a sufficient amount of data may not be available for model training. Therefore, the objective of this study is to generate a map of naturally occurring building layouts using an image generation model, and to create a 3D model based on this map to ensure a larger number of practical propagation environment models. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
radio propagation prediction / ray tracing / machine learning / image generation / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 123, no. 336, AP2023-185, pp. 131-136, Jan. 2024. |
| Paper # |
AP2023-185 |
| Date of Issue |
2024-01-10 (AP) |
| 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 |
AP2023-185 |
| Conference Information |
| Committee |
AP WPT |
| Conference Date |
2024-01-17 - 2024-01-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Tokimate, Niigata University |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Radio propagation, Wireless transmission technology, Antennas and Propagation |
| Paper Information |
| Registration To |
AP |
| Conference Code |
2024-01-AP-WPT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Generation of Virtual City 3D Model for Pathloss Dataset Extension |
| Sub Title (in English) |
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| Keyword(1) |
radio propagation prediction |
| Keyword(2) |
ray tracing |
| Keyword(3) |
machine learning |
| Keyword(4) |
image generation |
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| 1st Author's Name |
Rento Hagiwara |
| 1st Author's Affiliation |
Yokohama National University (Yokohama National Univ) |
| 2nd Author's Name |
Koichi Ichige |
| 2nd Author's Affiliation |
Yokohama National University (Yokohama National Univ) |
| 3rd Author's Name |
Tatsuya Nagao |
| 3rd Author's Affiliation |
KDDI Research Inc. (KDDI Research Inc.) |
| 4th Author's Name |
Takahiro Hyashi |
| 4th Author's Affiliation |
KDDI Research Inc. (KDDI Research Inc.) |
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| Speaker |
Author-1 |
| Date Time |
2024-01-19 15:50:00 |
| Presentation Time |
25 minutes |
| Registration for |
AP |
| Paper # |
AP2023-185 |
| Volume (vol) |
vol.123 |
| Number (no) |
no.336 |
| Page |
pp.131-136 |
| #Pages |
6 |
| Date of Issue |
2024-01-10 (AP) |