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| Presentation | 2024-01-19 14:30 Infant Detection in Passenger Vehicles Using Millimeter Wave FMCW-MIMO Radar and CFAR Algorithm Kotone Sato, Steven Wandale, Koichi Ichige (Yokohama National Univ.), Kazuya Kimura, Ryo Sugiura (Murata Manufacturing)  IT2023-71 SIP2023-104 RCS2023-246 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper implements several proposed features using the CFAR algorithm, then constructs a concise decision tree model and discusses a method for detecting infants in passenger vehicles. The decision tree model is constructed by approximating the machine learning model to overcome the black box structure of machine learning. Frequency Modulated Continuous Wave - Multiple Input Multiple Output (FMCW-MIMO) radar, a type of millimeter-wave radar, is used for detection in passenger vehicles because it is low-cost, non-contact, and insensitive to external factors. The data acquired from the radar is preprocessed to extract features. The previous method proposed to detect the presence or absence of infants at each seat using an approximate decision tree model with about 70 different features as input. This method was simplified and faster by building the tree model, but the number of features remained large and difficult to interpret. To solve this problem, this paper outputs a visualizable point cloud using the Constant False Alarm Rate (CFAR) algorithm. Then, the approximate decision tree model is constructed using these features, and the accuracy is compared with conventional methods to further improve interpretability. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Passenger detection / FMCW-MIMO radar / machine learning explainability improvement / CFAR algorithm / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 123, no. 339, SIP2023-104, pp. 223-228, Jan. 2024. | |
| Paper # | SIP2023-104 | |
| Date of Issue | 2024-01-11 (IT, SIP, RCS) | |
| 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 | IT2023-71 SIP2023-104 RCS2023-246 |
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| Conference Information | |
| Committee | SIP IT RCS |
| Conference Date | 2024-01-18 - 2024-01-19 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | SIP |
| Conference Code | 2024-01-SIP-IT-RCS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Infant Detection in Passenger Vehicles Using Millimeter Wave FMCW-MIMO Radar and CFAR Algorithm |
| Sub Title (in English) | |
| Keyword(1) | Passenger detection |
| Keyword(2) | FMCW-MIMO radar |
| Keyword(3) | machine learning explainability improvement |
| Keyword(4) | CFAR algorithm |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Kotone Sato |
| 1st Author's Affiliation | Yokohama National University (Yokohama National Univ.) |
| 2nd Author's Name | Steven Wandale |
| 2nd Author's Affiliation | Yokohama National University (Yokohama National Univ.) |
| 3rd Author's Name | Koichi Ichige |
| 3rd Author's Affiliation | Yokohama National University (Yokohama National Univ.) |
| 4th Author's Name | Kazuya Kimura |
| 4th Author's Affiliation | Murata Manufacturing (Murata Manufacturing) |
| 5th Author's Name | Ryo Sugiura |
| 5th Author's Affiliation | Murata Manufacturing (Murata Manufacturing) |
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| Speaker | Author-1 |
| Date Time | 2024-01-19 14:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SIP |
| Paper # | IT2023-71, SIP2023-104, RCS2023-246 |
| Volume (vol) | vol.123 |
| Number (no) | no.338(IT), no.339(SIP), no.340(RCS) |
| Page | pp.223-228 |
| #Pages | 6 |
| Date of Issue | 2024-01-11 (IT, SIP, RCS) |
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