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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 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 languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
Pages2307-2312
Number of pages6
DOIs
Publication statusPublished - 2001 Sep 15
Externally publishedYes
Event2001 IEEE International Conference on Robotics and Automation - Seoul, Korea, Republic of
Duration: 2001 May 212001 May 26

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume3
ISSN (Print)1050-4729

Other

Other2001 IEEE International Conference on Robotics and Automation
CountryKorea, Republic of
CitySeoul
Period01/5/2101/5/26

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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  • Cite this

    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 (pp. 2307-2312). (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 3). https://doi.org/10.1109/ROBOT.2001.932966