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An Omnidirectional Stereo Vision-Based Smart Wheelchair

EURASIP Journal on Image and Video Processing volume 2007, Article number: 087646 (2007) Cite this article

Abstract

To support safe self-movement of the disabled and the aged, we developed an electric wheelchair that realizes the functions of detecting both the potential hazards in a moving environment and the postures and gestures of a user by equipping an electric wheelchair with the stereo omnidirectional system (SOS), which is capable of acquiring omnidirectional color image sequences and range data simultaneously in real time. The first half of this paper introduces the SOS and the basic technology behind it. To use the multicamera system SOS on an electric wheelchair, we developed an image synthesizing method of high speed and high quality and the method of recovering SOS attitude changes by using attitude sensors is also introduced. This method allows the SOS to be used without being affected by the mounting attitude of the SOS. The second half of this paper introduces the prototype electric wheelchair actually manufactured and experiments conducted using the prototype. The usability of the electric wheelchair is also discussed.

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Author information

Affiliations

  1. Information Technology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 2, Umezono 1-1-1, Tsukuba, Ibaraki, 305-8568, Japan
    • Yutaka Satoh
    •  & Katsuhiko Sakaue
Authors
  1. Yutaka Satoh
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  2. Katsuhiko Sakaue
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Correspondence to Yutaka Satoh.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Satoh, Y., Sakaue, K. An Omnidirectional Stereo Vision-Based Smart Wheelchair. J Image Video Proc 2007, 087646 (2007). https://doi.org/10.1155/2007/87646

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Keywords

  • Color
  • Image Processing
  • Pattern Recognition
  • Computer Vision
  • Color Image