WEKO3
アイテム
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/10228/00009156dca8dc38-3c55-4195-a86b-f9ec9f96245b
| 名前 / ファイル | ライセンス | アクション |
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| アイテムタイプ | 会議発表論文 = Conference Paper(1) | |||||||||||
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| 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× タン, ジュークイ
WEKO
399
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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 |
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| 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 | |||||||||||