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A noncontact positioning measuring system based on distributed wireless networks

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Abstract

A new type of distributed wireless network which combines a laser range finder with binocular vision sensors is developed to improve the accuracy of measurement along the direction of optical axis. By obtaining the coordinate of the target by the binocular vision sensor, the laser range finder which is installed at a two-axes rotary table is able to measure the distance between the target and the turntable of the current position. Then, an adaptive weighted fusion algorithm of multi-sensor information fusion is proposed to improve the utilization efficiency of the multi-sensor information and to make the results more accurate. Finally, the parameters of the system are calibrated through the simulations and the experiments show that the system is feasible and effective.

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Acknowledgments

The work is supported by National Natural Science Foundation of China(51405013), the Fundamental Research Funds for the Central Universities(2014JBZ016) as well as the National Key Scientific Instrument and Equipment Development Project(2013YQ350747).

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Authors and Affiliations

  1. School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing, China, 100044

    Haikuo Shen & Kaihua Zhang

  2. Department of System and Computer Engineering, Carleton University, Ottawa, Ontario, Canada, K1S 5B6

    Afsoon Nejati

Authors
  1. Haikuo Shen
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  2. Kaihua Zhang
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  3. Afsoon Nejati
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Correspondence to Haikuo Shen.

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Shen, H., Zhang, K. & Nejati, A. A noncontact positioning measuring system based on distributed wireless networks. Peer-to-Peer Netw. Appl. 10, 823–832 (2017). https://doi.org/10.1007/s12083-016-0525-5

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  • DOI: https://doi.org/10.1007/s12083-016-0525-5

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