Human and Object Detection in Smoke-Filled Space Using Millimeter-Wave Radar Based Measurement

Yoshimitsu Aoki; Masaki Sakai

doi:10.20965/jrm.2006.p0760

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JRM Vol.18 No.6 pp. 760-764

doi: 10.20965/jrm.2006.p0760

(2006)

Paper:

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Human and Object Detection in Smoke-Filled Space Using Millimeter-Wave Radar Based Measurement

Yoshimitsu Aoki and Masaki Sakai

Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo, Japan

Received:

April 7, 2006

Accepted:

August 21, 2006

Published:

December 20, 2006

Keywords:

millimeter-wave radar, gyroscope sensor, three-dimensional image processing, object detection, three-dimensional space reconstruction

Abstract

One of the greatest problems in rescue operations during fire disasters is the blocking of firefighters’ view by dense smoke. Assuming that a firefighter’s most important task is to understand the situation within a smoke-filled space. We developed a way to do so, starting by scanning space using millimeter-wave radar combined with a gyrosensor. To detect persons and objects, we constructed a 3D map from signal reflection datasets using 3D image processing. We detail our proposal and report results of measurement experiment in actual smoke-filled areas.

Cite this article as:

Y. Aoki and M. Sakai, “Human and Object Detection in Smoke-Filled Space Using Millimeter-Wave Radar Based Measurement,” J. Robot. Mechatron., Vol.18 No.6, pp. 760-764, 2006.

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References

[1] Y. Omine, M. Saki, Y. Aoki, and M. Takagi, “Basic examination of a technique to visualize space filled with dense smoke using millimeter-wave radar,” 2004 SPIE.
[2] Y. Aragaki, N. Shimomura, and A. Asaoka, “Night Vision Aid using Feature Points from IR Image,” SSII, pp. 131-134, 2005.
[3] H. Zhao, X. Shao, K. Katabira, K. Nakamura, and R. Shibasaki, “Joint tracking and classification of moving objects in cross road using single-row laser range scanner,” SSII, pp. 310-316, 2006.
[4] M. Kourogi and T. Kurata “Personal Positioning Based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera,” PRMU2003-260, pp. 25-30, 2004.
[5] Y. Tamatsu, “Surrounding Sensing with Vision and Rader,” SSII, pp. 383-386, 2005.
[6] http://www.honda.co.jp/ODYSSEY/safety/index.html
[7] N. Yamada, Y. Tanaka, and k. Nisikawa, “Radar cross section for Human body in 76 GHz Band,” 2004 EiC.
[8] T. Sato, M. Kanbara, N. Yokoya, and H. Takemura, “Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-baseline Stereo using a Hand-held Video Camera,” International Journal of Computer Vision, Vol.47, No.1-3, May, 2002.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] Y. Omine, M. Saki, Y. Aoki, and M. Takagi, “Basic examination of a technique to visualize space filled with dense smoke using millimeter-wave radar,” 2004 SPIE.

[2] [2] Y. Aragaki, N. Shimomura, and A. Asaoka, “Night Vision Aid using Feature Points from IR Image,” SSII, pp. 131-134, 2005.

[3] [3] H. Zhao, X. Shao, K. Katabira, K. Nakamura, and R. Shibasaki, “Joint tracking and classification of moving objects in cross road using single-row laser range scanner,” SSII, pp. 310-316, 2006.

[4] [4] M. Kourogi and T. Kurata “Personal Positioning Based on Walking Locomotion Analysis with Self-Contained Sensors and a Wearable Camera,” PRMU2003-260, pp. 25-30, 2004.

[5] [5] Y. Tamatsu, “Surrounding Sensing with Vision and Rader,” SSII, pp. 383-386, 2005.

[6] [6] http://www.honda.co.jp/ODYSSEY/safety/index.html

[7] [7] N. Yamada, Y. Tanaka, and k. Nisikawa, “Radar cross section for Human body in 76 GHz Band,” 2004 EiC.

[8] [8] T. Sato, M. Kanbara, N. Yokoya, and H. Takemura, “Dense 3-D Reconstruction of an Outdoor Scene by Hundreds-baseline Stereo using a Hand-held Video Camera,” International Journal of Computer Vision, Vol.47, No.1-3, May, 2002.