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An Electrical Connector Locating Method Based on Computer Vision

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Proceedings of the 2012 International Conference on Information Technology and Software Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 210))

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Abstract

Electrical Connector plugging in–out operation by robot is critical content of spacecraft on-orbit self-maintenance. A new electrical connector locating method is proposed based on computer vision. This method recognizes an circular connector by itself combined shape characteristics. The binocular camera measures the center and the normal vector of connector combing with the recognition results. Finally, the camera measures the connector gap position and determines the position and attitude of the connector. Experiment proves the measure result is accurate and the method is effective.

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References

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Acknowledgments

This research is supported by the National High Technology Research and Development Program of China (863 Program) with the reference number 2011AA7045040.

Author information

Authors and Affiliations

  1. Image Processing Center of Beihang University, Beijing, China

    Haozheng Yan

  2. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China

    Yifei Feng

Authors
  1. Haozheng Yan
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  2. Yifei Feng
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Corresponding author

Correspondence to Haozheng Yan .

Editor information

Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, China, People's Republic

    Wei Lu

  2. Beijing Jiaotong University, Beijing, China, People's Republic

    Guoqiang Cai

  3. Beijing Jiaotong University, Beijing, China, People's Republic

    Weibin Liu

  4. Beijing Jiaotong University, Beijing, China, People's Republic

    Weiwei Xing

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Yan, H., Feng, Y. (2013). An Electrical Connector Locating Method Based on Computer Vision. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34528-9_34

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  • DOI: https://doi.org/10.1007/978-3-642-34528-9_34

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34527-2

  • Online ISBN: 978-3-642-34528-9

  • eBook Packages: EngineeringEngineering (R0)

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