Paper Abstract and Keywords |
Presentation |
2018-08-10 11:40
Object Identification with Time Series of Millimeter-wave Radar Information Takashi Nakamura, Kentaroh Toyoda, Tomoaki Ohtsuki (Keio Univ.), Osamu Isaji, Kazuaki Hamada, Toshiyuki Miyazaki (DENSO TEN) RCS2018-145 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Identifying objects with radar is in great demand for avoiding road accidents. Recent research tried to identify moving objects on a road by inputting radar information to a machine learning classifier. In the conventional method, the features used in the machine learning are extracted from the observed radar information with a short time interval. Since the movement of the objects is different depending on the objects, time series information is effective for classification, which has not been exploited before. In this report, we propose a machine learning-based object identification using time series of radar information obtained from the time window that contains series of features. We extract features from a series of features by calculating the mean and variance of object information, i.e., velocity, signal power, and distance. Some experiments were carried out, and the classification performance was evaluated. From the classification results, it is shown that our method outperforms the conventional one of which features are extracted with a short time slice. It is also shown how much each feature contributes to the object identification in our method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
millimeter-wave radar / object identification / automotive system / pedestrian detection / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 177, RCS2018-145, pp. 75-80, Aug. 2018. |
Paper # |
RCS2018-145 |
Date of Issue |
2018-08-02 (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) |
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RCS2018-145 |
Conference Information |
Committee |
SAT RCS |
Conference Date |
2018-08-09 - 2018-08-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Iwate University |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Wireless Communications, etc. |
Paper Information |
Registration To |
RCS |
Conference Code |
2018-08-SAT-RCS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Object Identification with Time Series of Millimeter-wave Radar Information |
Sub Title (in English) |
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Keyword(1) |
millimeter-wave radar |
Keyword(2) |
object identification |
Keyword(3) |
automotive system |
Keyword(4) |
pedestrian detection |
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1st Author's Name |
Takashi Nakamura |
1st Author's Affiliation |
Keio University (Keio Univ.) |
2nd Author's Name |
Kentaroh Toyoda |
2nd Author's Affiliation |
Keio University (Keio Univ.) |
3rd Author's Name |
Tomoaki Ohtsuki |
3rd Author's Affiliation |
Keio University (Keio Univ.) |
4th Author's Name |
Osamu Isaji |
4th Author's Affiliation |
DENSO TEN Limited (DENSO TEN) |
5th Author's Name |
Kazuaki Hamada |
5th Author's Affiliation |
DENSO TEN Limited (DENSO TEN) |
6th Author's Name |
Toshiyuki Miyazaki |
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DENSO TEN Limited (DENSO TEN) |
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Speaker |
Author-1 |
Date Time |
2018-08-10 11:40:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2018-145 |
Volume (vol) |
vol.118 |
Number (no) |
no.177 |
Page |
pp.75-80 |
#Pages |
6 |
Date of Issue |
2018-08-02 (RCS) |
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