Accuracy evaluation of corridor width estimation using RGB-D camera

Daiki Maruyama; Kenji Kanai; Jiro Katto

doi:10.1109/GCCE50665.2020.9291898

Accuracy evaluation of corridor width estimation using RGB-D camera

Daiki Maruyama, Kenji Kanai, Jiro Katto

研究成果: Conference contribution

抄録

Recently, in order to build barrier-free smart cities, Japanese government is actively promoting to construct open data regarding roads and buildings, including existence of bumps, road slope and corridor width. To contribute this activity, in this paper, we introduce a corridor width estimation method by using an RGB-D camera. In this method, we assume that the RGB-D camera is mounted on the electric wheelchairs for a mobile sensing platform. The corridor width estimation is mainly operated by three steps: planes extraction, side walls extraction and distance calculation. We evaluate the accuracy of this method at eight corridors in Waseda University.

本文言語	English
ホスト出版物のタイトル	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
出版社	Institute of Electrical and Electronics Engineers Inc.
ページ	297-298
ページ数	2
ISBN（電子版）	9781728198026
DOI	https://doi.org/10.1109/GCCE50665.2020.9291898
出版ステータス	Published - 2020 10月 13
イベント	9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan 継続期間: 2020 10月 13 → 2020 10月 16

出版物シリーズ

名前	2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference	9th IEEE Global Conference on Consumer Electronics, GCCE 2020
国/地域	Japan
City	Kobe
Period	20/10/13 → 20/10/16

ASJC Scopus subject areas

信号処理
電子工学および電気工学
メディア記述
器械工学
コンピュータネットワークおよび通信
コンピュータビジョンおよびパターン認識

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

文献へのアクセス

10.1109/GCCE50665.2020.9291898

他のファイルとリンク

引用スタイル

Maruyama, D., Kanai, K., & Katto, J. (2020). Accuracy evaluation of corridor width estimation using RGB-D camera. In 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020 (pp. 297-298). [9291898] (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE50665.2020.9291898

Accuracy evaluation of corridor width estimation using RGB-D camera. / Maruyama, Daiki; Kanai, Kenji; Katto, Jiro.
2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 297-298 9291898 (2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020).

研究成果: Conference contribution

Maruyama, D, Kanai, K & Katto, J 2020, Accuracy evaluation of corridor width estimation using RGB-D camera. in 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020., 9291898, 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020, Institute of Electrical and Electronics Engineers Inc., pp. 297-298, 9th IEEE Global Conference on Consumer Electronics, GCCE 2020, Kobe, Japan, 20/10/13. https://doi.org/10.1109/GCCE50665.2020.9291898

@inproceedings{e990f257de014d59942eb4f6264adbf0,

title = "Accuracy evaluation of corridor width estimation using RGB-D camera",

abstract = "Recently, in order to build barrier-free smart cities, Japanese government is actively promoting to construct open data regarding roads and buildings, including existence of bumps, road slope and corridor width. To contribute this activity, in this paper, we introduce a corridor width estimation method by using an RGB-D camera. In this method, we assume that the RGB-D camera is mounted on the electric wheelchairs for a mobile sensing platform. The corridor width estimation is mainly operated by three steps: planes extraction, side walls extraction and distance calculation. We evaluate the accuracy of this method at eight corridors in Waseda University. ",

keywords = "Corn dor width estimation, Mobile sensing, Plane extraction, RGB-D camera",

author = "Daiki Maruyama and Kenji Kanai and Jiro Katto",

note = "Funding Information: This paper is supported by the verification-style research & development program for solving reginal challenges using data cooperation and utilization by NICT, Japan Publisher Copyright: {\textcopyright} 2020 IEEE.; 9th IEEE Global Conference on Consumer Electronics, GCCE 2020 ; Conference date: 13-10-2020 Through 16-10-2020",

year = "2020",

month = oct,

day = "13",

doi = "10.1109/GCCE50665.2020.9291898",

language = "English",

series = "2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "297--298",

booktitle = "2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020",

}

TY - GEN

T1 - Accuracy evaluation of corridor width estimation using RGB-D camera

AU - Maruyama, Daiki

AU - Kanai, Kenji

AU - Katto, Jiro

N1 - Funding Information: This paper is supported by the verification-style research & development program for solving reginal challenges using data cooperation and utilization by NICT, Japan Publisher Copyright: © 2020 IEEE.

PY - 2020/10/13

Y1 - 2020/10/13

N2 - Recently, in order to build barrier-free smart cities, Japanese government is actively promoting to construct open data regarding roads and buildings, including existence of bumps, road slope and corridor width. To contribute this activity, in this paper, we introduce a corridor width estimation method by using an RGB-D camera. In this method, we assume that the RGB-D camera is mounted on the electric wheelchairs for a mobile sensing platform. The corridor width estimation is mainly operated by three steps: planes extraction, side walls extraction and distance calculation. We evaluate the accuracy of this method at eight corridors in Waseda University.

AB - Recently, in order to build barrier-free smart cities, Japanese government is actively promoting to construct open data regarding roads and buildings, including existence of bumps, road slope and corridor width. To contribute this activity, in this paper, we introduce a corridor width estimation method by using an RGB-D camera. In this method, we assume that the RGB-D camera is mounted on the electric wheelchairs for a mobile sensing platform. The corridor width estimation is mainly operated by three steps: planes extraction, side walls extraction and distance calculation. We evaluate the accuracy of this method at eight corridors in Waseda University.

KW - Corn dor width estimation

KW - Mobile sensing

KW - Plane extraction

KW - RGB-D camera

UR - http://www.scopus.com/inward/record.url?scp=85099399785&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85099399785&partnerID=8YFLogxK

U2 - 10.1109/GCCE50665.2020.9291898

DO - 10.1109/GCCE50665.2020.9291898

M3 - Conference contribution

AN - SCOPUS:85099399785

T3 - 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

SP - 297

EP - 298

BT - 2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 9th IEEE Global Conference on Consumer Electronics, GCCE 2020

Y2 - 13 October 2020 through 16 October 2020

ER -

Accuracy evaluation of corridor width estimation using RGB-D camera

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

UN SDG

文献へのアクセス

他のファイルとリンク

フィンガープリント

引用スタイル