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Fire Technology

, Volume 51, Issue 4, pp 823–845 | Cite as

Firefighting Robot Stereo Infrared Vision and Radar Sensor Fusion for Imaging through Smoke

  • Jong-Hwan KimEmail author
  • Joseph W. Starr
  • Brian Y. Lattimer
Article

Abstract

Firefighting robots are actively being researched to reduce firefighter injuries and deaths as well as increase their effectiveness on performing tasks. There has been difficulty in making firefighting robots autonomous because the commonly used sensors for autonomous robot navigation do not perform well in fire smoke-filled environments where low visibility and high temperature are present. In order to overcome these limitations, a multi-spectral vision system was developed that uses sensor fusion between stereo thermal infrared (IR) vision and frequency modulated-continuous wave (FMCW) radar to locate objects through zero visibility smoke in real-time. In this system, the stereo IR vision was used to obtain 3-D information about the scene while the radar provided more accurate distances of objects in the field of view. Through globally matching radar objects with those in the 3-D image, the accuracy of the stereo IR vision map was updated removing the far-field inaccuracy of the stereo IR as well as ghost objects created due to stereo mismatch. The system was sufficiently fast to provide real-time matching of objects in the scene allowing for dynamic reaction object tracking and locating. Through large-scale fire experiments with and without smoke in the field of view, the distance error for the stereo IR vision was reduced from 1% to 19.0% to 1% to 2% due to sensor fusion of the stereo IR with FMCW radar.

Keywords

Firefighting robot Object detection Stereo IR vision FMCW radar Multisensor fusion Dense smoke Fire environment 

Notes

Acknowledgements

This work was sponsored by the Office of Naval Research Grant No. N00014-11-1-0074 scientific office Dr. Thomas McKenna. The authors would also like to thank Rosana K. Lee for helping and supporting this research.

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Jong-Hwan Kim
    • 1
    Email author
  • Joseph W. Starr
    • 1
  • Brian Y. Lattimer
    • 1
  1. 1.Department of Mechanical EngineeringVirginia TechBlacksburgUSA

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