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| Presentation | 2021-07-14 13:50 Pedestrian Radar Map System using 360-degree camera Kazuki Murayama, Kenji Kanai, Masaru Takeuchi, Heming Sun, Jiro Katto (Waseda Univ.)  SeMI2021-18 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the demand for urban monitoring using ICT technology has increased. Especially, for achieving a full barrier-free city and with the spread of COVID-19 infection, it is mandatory to construct “Pedestrian space network data”. In this paper, toward constructing the pedestrian space network data easily and automatically, we propose a pedestrian radar mapping system for estimating the density of pedestrians on streets and sidewalks. The proposed system collects 360-degree images using e-bikes and can visualize pedestrians’ positions and pedestrians’ density as a radar map and on a geographic map. We develop a prototype system and validate the system performance by carrying out a field experiment. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | 360-degree video / Human detection / Pedestrian density estimation / Prototype system / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 121, no. 105, SeMI2021-18, pp. 29-34, July 2021. | |
| Paper # | SeMI2021-18 | |
| Date of Issue | 2021-07-07 (SeMI) | |
| 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 | SeMI2021-18 |
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| Conference Information | |
| Committee | RCS SR NS SeMI RCC |
| Conference Date | 2021-07-14 - 2021-07-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication and Network Technology of the AI Age, M2M (Machine-to-Machine)，D2D (Device-to-Device)，IoT（Internet of Things）, etc |
| Paper Information | |
| Registration To | SeMI |
| Conference Code | 2021-07-RCS-SR-NS-SeMI-RCC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pedestrian Radar Map System using 360-degree camera |
| Sub Title (in English) | |
| Keyword(1) | 360-degree video |
| Keyword(2) | Human detection |
| Keyword(3) | Pedestrian density estimation |
| Keyword(4) | Prototype system |
| Keyword(5) | |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Kazuki Murayama |
| 1st Author's Affiliation | Waseda University (Waseda Univ.) |
| 2nd Author's Name | Kenji Kanai |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Masaru Takeuchi |
| 3rd Author's Affiliation | Waseda University (Waseda Univ.) |
| 4th Author's Name | Heming Sun |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
| 5th Author's Name | Jiro Katto |
| 5th Author's Affiliation | Waseda University (Waseda Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-07-14 13:50:00 |
| Presentation Time | 25 minutes |
| Registration for | SeMI |
| Paper # | SeMI2021-18 |
| Volume (vol) | vol.121 |
| Number (no) | no.105 |
| Page | pp.29-34 |
| #Pages | 6 |
| Date of Issue | 2021-07-07 (SeMI) |
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