Presentation 2014/9/11
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,
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Abstract(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's 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.
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Keyword(in English) smartphone / sensor / sidewalk / stroller / machine learning
Paper # LOIS2014-19
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Conference Date 2014/9/11(1days)
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Language JPN
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) smartphone
Keyword(2) sensor
Keyword(3) sidewalk
Keyword(4) stroller
Keyword(5) machine learning
1st Author's Name Hideaki IWAMOTO
1st Author's Affiliation NTT Service Evolution Laboratories()
2nd Author's Name Shin-yo MUTO
2nd Author's Affiliation NTT Service Evolution Laboratories
3rd Author's Name Tatsuaki ITO
3rd Author's Affiliation NTT Service Evolution Laboratories
4th Author's Name Noriyoshi UCHIDA
4th Author's Affiliation NTT Service Evolution Laboratories
5th Author's Name Masakazu URATA
5th Author's Affiliation NTT Service Evolution Laboratories
6th Author's Name Hikaru TAKENAKA
6th Author's Affiliation NTT Service Evolution Laboratories
7th Author's Name Jun-ichi NAKAGAWA
7th Author's Affiliation NTT Service Evolution Laboratories
8th Author's Name Manabu OKAMOTO
8th Author's Affiliation NTT Service Evolution Laboratories
Date 2014/9/11
Paper # LOIS2014-19
Volume (vol) vol.114
Number (no) 220
Page pp.pp.-
#Pages 6
Date of Issue