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  1. 学会・会議発表論文
  2. 学会・会議発表論文

Development of a Safe Walking Assistance System for Visually Impaired Persons Using MY VISION ― Estimation of a Safe Passage from Sidewalk Information Based on Transfer Learning of VGG-16 Network

http://hdl.handle.net/10228/00009156
http://hdl.handle.net/10228/00009156
dca8dc38-3c55-4195-a86b-f9ec9f96245b
名前 / ファイル ライセンス アクション
10405850.pdf 10405850.pdf (250.6 kB)
アイテムタイプ 会議発表論文 = Conference Paper(1)
公開日 2023-04-03
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
タイトル
タイトル Development of a Safe Walking Assistance System for Visually Impaired Persons Using MY VISION ― Estimation of a Safe Passage from Sidewalk Information Based on Transfer Learning of VGG-16 Network
言語 en
言語
言語 eng
著者 Yokote, Takumi

× Yokote, Takumi

WEKO 35120

en Yokote, Takumi

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タン, ジュークイ

× タン, ジュークイ

WEKO 399
e-Rad 40363395
Scopus著者ID 7402302537
九工大研究者情報 35

en Tan, Joo kooi
Tanjo, Yui

ja タン, ジュークイ
丹上, 結乃純

ja-Kana タンジョウ, ユウイ

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抄録
内容記述タイプ Abstract
内容記述 In recent years, the number of visually impaired persons has been increasing year by year, and outdoor accidents have also been increasing when they go out. It is difficult to detect hazards on sidewalks even with a currently popular technique, such as a semantic segmentation technique or YOLO, because sidewalk situations are complicated and change frequently. For this reason, we propose a method of recognizing sidewalk situations from a self-viewpoint video called MY VISION. Conventional methods detect objects surrounding the sidewalk by learning the objects’ features beforehand and guiding visually impaired persons according to the position/direction of the detected object. The proposed method neither learns objects nor detects objects. We focus on sidewalk situations and use a multiclass classification technique based on transfer learning of VGG-16 to guide visually impaired persons’ walk according to three kinds of sidewalk information to ensure more safety. The effectiveness of the proposed method was confirmed by experiments.
言語 en
備考
内容記述タイプ Other
内容記述 The 2023 International Conference on Artificial Life and Robotics (ICAROB 2023), February 9-12, 2023, on line, Oita, Japan
書誌情報 en : Proceedings of International Conference on Artificial Life & Robotics (ICAROB2023)

p. 886-889, 発行日 2023-02-09
出版社
出版社 ALife Robotics
言語 en
DOI
識別子タイプ DOI
関連識別子 https://doi.org/10.5954/ICAROB.2023.GS3-2
著作権関連情報
権利情報Resource https://creativecommons.org/licenses/by-nc/4.0/
権利情報 Copyright (c) The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
キーワード
主題Scheme Other
主題 Safe walking assistance
キーワード
主題Scheme Other
主題 deep learning
キーワード
主題Scheme Other
主題 visually impaired
キーワード
主題Scheme Other
主題 MY VISION
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
査読の有無
値 yes
研究者情報
URL https://hyokadb02.jimu.kyutech.ac.jp/html/35_ja.html
論文ID(連携)
値 10405850
連携ID
値 11151
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