Walking human avoidance and detection from a mobile robot using 3D depth flow

K. Okada; S. Kagami; M. Inaba; H. Inoue

doi:10.1109/ROBOT.2001.932966

Walking human avoidance and detection from a mobile robot using 3D depth flow

K. Okada, S. Kagami, M. Inaba, H. Inoue

INF - System Information Sciences

The University of Tokyo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

This paper shows walking human avoidance and detection behavior of a mobile robot using 3D Depth Flow. We propose 3D Depth Flow, that is able to measure 3D motion vector of every pixels between two time sequential images. First, a definition of 3D Depth Flow and a simple 3D Depth, Flow calculation method are denoted. Then an implementation of real-time 3D Depth Flow Generation system using standard PC, and experimental results are denoted. Finally, as an application, walking human detection and avoidance task using a mobile robot in real environments is shown.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Robotics and Automation
Pages	2307-2312
Number of pages	6
DOIs	https://doi.org/10.1109/ROBOT.2001.932966
Publication status	Published - 2001
Event	2001 IEEE International Conference on Robotics and Automation - Seoul, Korea, Republic of Duration: 2001 May 21 → 2001 May 26

Publication series

Name	Proceedings - IEEE International Conference on Robotics and Automation
Volume	3
ISSN (Print)	1050-4729

Conference

Conference	2001 IEEE International Conference on Robotics and Automation
Country/Territory	Korea, Republic of
City	Seoul
Period	01/5/21 → 01/5/26

Access to Document

10.1109/ROBOT.2001.932966

Cite this

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title = "Walking human avoidance and detection from a mobile robot using 3D depth flow",

abstract = "This paper shows walking human avoidance and detection behavior of a mobile robot using 3D Depth Flow. We propose 3D Depth Flow, that is able to measure 3D motion vector of every pixels between two time sequential images. First, a definition of 3D Depth Flow and a simple 3D Depth, Flow calculation method are denoted. Then an implementation of real-time 3D Depth Flow Generation system using standard PC, and experimental results are denoted. Finally, as an application, walking human detection and avoidance task using a mobile robot in real environments is shown.",

author = "K. Okada and S. Kagami and M. Inaba and H. Inoue",

year = "2001",

doi = "10.1109/ROBOT.2001.932966",

language = "English",

isbn = "0780365763",

series = "Proceedings - IEEE International Conference on Robotics and Automation",

pages = "2307--2312",

booktitle = "Proceedings - IEEE International Conference on Robotics and Automation",

note = "2001 IEEE International Conference on Robotics and Automation ; Conference date: 21-05-2001 Through 26-05-2001",

}

Okada, K, Kagami, S, Inaba, M & Inoue, H 2001, Walking human avoidance and detection from a mobile robot using 3D depth flow. in Proceedings - IEEE International Conference on Robotics and Automation. Proceedings - IEEE International Conference on Robotics and Automation, vol. 3, pp. 2307-2312, 2001 IEEE International Conference on Robotics and Automation, Seoul, Korea, Republic of, 01/5/21. https://doi.org/10.1109/ROBOT.2001.932966

Walking human avoidance and detection from a mobile robot using 3D depth flow. / Okada, K.; Kagami, S.; Inaba, M. et al.
Proceedings - IEEE International Conference on Robotics and Automation. 2001. p. 2307-2312 (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Walking human avoidance and detection from a mobile robot using 3D depth flow

AU - Okada, K.

AU - Kagami, S.

AU - Inaba, M.

AU - Inoue, H.

PY - 2001

Y1 - 2001

N2 - This paper shows walking human avoidance and detection behavior of a mobile robot using 3D Depth Flow. We propose 3D Depth Flow, that is able to measure 3D motion vector of every pixels between two time sequential images. First, a definition of 3D Depth Flow and a simple 3D Depth, Flow calculation method are denoted. Then an implementation of real-time 3D Depth Flow Generation system using standard PC, and experimental results are denoted. Finally, as an application, walking human detection and avoidance task using a mobile robot in real environments is shown.

AB - This paper shows walking human avoidance and detection behavior of a mobile robot using 3D Depth Flow. We propose 3D Depth Flow, that is able to measure 3D motion vector of every pixels between two time sequential images. First, a definition of 3D Depth Flow and a simple 3D Depth, Flow calculation method are denoted. Then an implementation of real-time 3D Depth Flow Generation system using standard PC, and experimental results are denoted. Finally, as an application, walking human detection and avoidance task using a mobile robot in real environments is shown.

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M3 - Conference contribution

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SN - 0780365763

T3 - Proceedings - IEEE International Conference on Robotics and Automation

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BT - Proceedings - IEEE International Conference on Robotics and Automation

T2 - 2001 IEEE International Conference on Robotics and Automation

Y2 - 21 May 2001 through 26 May 2001

ER -

Walking human avoidance and detection from a mobile robot using 3D depth flow

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