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Paper Abstract and Keywords
Presentation 2014-09-18 12:20
A study of a method for estimating the condition of sidewalks by using pedestrians' impressions
Hideaki Iwamoto, Shin-yo Muto, Tatsuaki Ito, Noriyoshi Uchida, Masakazu Urata, Hikaru Takenaka, Jun-ichi Nakagawa, Manabu Okamoto (NTT) LOIS2014-19 IE2014-32 EMM2014-49
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a method for estimating the condition of sidewalks by using pedestrians' impressions, and the validation results of the method. The goal of the proposed method is to identify inconvenience or difficulties that pedestrian may encounter when walking on sidewalks from the data gathered by pedestrians' smartphones saving the cost to investigate the location. To illustrate the proposed method, we show the evaluation result of the estimating model of slope and unevenness of sidewalks by machine learning applied to the collected data.
Keyword (in Japanese) (See Japanese page) 
(in English) stroller / smartphone / ,sensor / sidewalk / machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 220, LOIS2014-19, pp. 11-16, Sept. 2014.
Paper # LOIS2014-19 
Date of Issue 2014-09-11 (LOIS, IE, EMM) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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 LOIS2014-19 IE2014-32 EMM2014-49

Conference Information
Committee IE EMM LOIS IEE-CMN ITE-ME  
Conference Date 2014-09-18 - 2014-09-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2014-09-IE-EMM-LOIS-CMN-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study of a method for estimating the condition of sidewalks by using pedestrians' impressions 
Sub Title (in English)  
Keyword(1) stroller  
Keyword(2) smartphone  
Keyword(3) ,sensor  
Keyword(4) sidewalk  
Keyword(5) machine learning  
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Keyword(7)  
Keyword(8)  
1st Author's Name Hideaki Iwamoto  
1st Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
2nd Author's Name Shin-yo Muto  
2nd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
3rd Author's Name Tatsuaki Ito  
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
4th Author's Name Noriyoshi Uchida  
4th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
5th Author's Name Masakazu Urata  
5th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
6th Author's Name Hikaru Takenaka  
6th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
7th Author's Name Jun-ichi Nakagawa  
7th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
8th Author's Name Manabu Okamoto  
8th Author's Affiliation Nippon Telegraph and Telephone Corporation (NTT)
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Speaker Author-1 
Date Time 2014-09-18 12:20:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2014-19, IE2014-32, EMM2014-49 
Volume (vol) vol.114 
Number (no) no.220(LOIS), no.221(IE), no.222(EMM) 
Page pp.11-16 
#Pages
Date of Issue 2014-09-11 (LOIS, IE, EMM) 


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