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| Presentation | 2022-06-09 13:20 Quantification of the danger of arbitrary walking scenes based on outdoor walking collision simulation within a 3DCG map space Yukihiro Matsunaga (Kyutech), Masato Matsuoka (Kyushu Univ.), Hiromu Tanaka, Hideaki Kawano (Kyutech)  SIS2022-2 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | One of the problems that visually impaired people face when they go out is an accident caused by collision with an obstacle. In order to avoid collisions with obstacles when walking outdoors, this study used models learned by CNN and LSTM to calculate the degree of risk for time-series images of collision scenes with multiple patterns of obstacles in a 3DCG map space, and verified whether the appropriate degree of risk could be quantified. As a result, it was confirmed that the model was able to quantify the appropriate risk level for not only stationary obstacles but also moving obstacles according to each scene, enabling the visually impaired to recognize the danger in various collision scenes. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Walking assistance / 3DCG map space / risk quantification / CNN / LSTM / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 62, SIS2022-2, pp. 7-11, June 2022. | |
| Paper # | SIS2022-2 | |
| Date of Issue | 2022-06-02 (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 | SIS2022-2 |
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| Conference Information | |
| Committee | SIS IPSJ-AVM |
| Conference Date | 2022-06-09 - 2022-06-10 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | KIT(Wakamatsu Campus) |
| 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 | 2022-06-SIS-AVM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quantification of the danger of arbitrary walking scenes based on outdoor walking collision simulation within a 3DCG map space |
| Sub Title (in English) | |
| Keyword(1) | Walking assistance |
| Keyword(2) | 3DCG map space |
| Keyword(3) | risk quantification |
| Keyword(4) | CNN |
| Keyword(5) | LSTM |
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| 1st Author's Name | Yukihiro Matsunaga |
| 1st Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 2nd Author's Name | Masato Matsuoka |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Hiromu Tanaka |
| 3rd Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
| 4th Author's Name | Hideaki Kawano |
| 4th Author's Affiliation | Kyushu Institute of Technology (Kyutech) |
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| Speaker | Author-1 |
| Date Time | 2022-06-09 13:20:00 |
| Presentation Time | 20 minutes |
| Registration for | SIS |
| Paper # | SIS2022-2 |
| Volume (vol) | vol.122 |
| Number (no) | no.62 |
| Page | pp.7-11 |
| #Pages | 5 |
| Date of Issue | 2022-06-02 (SIS) |
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