IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2758021.html
   My bibliography  Save this article

Detection and Positioning of Pipes and Columns with Autonomous Multicopter Drones

Author

Listed:
  • Edmundo Guerra
  • Rodrigo Munguía
  • Yolanda Bolea
  • Antoni Grau

Abstract

A multimodal sensory array to accurately position aerial multicopter drones with respect to pipes has been studied, and a solution exploiting both LiDAR and vision sensors has been proposed. Several challenges, including detection of pipes and other cylindrical elements in sensor space and validation of the elements detected, have been studied. A probabilistic parametric method has been applied to segment and position cylinders with LIDAR, while several vision-based techniques have been tested to find the contours of the pipe, combined with conic estimation cylinder pose recovery. Multiple solutions have been studied and analyzed, evaluating their results. This allowed proposing an approach that combines both LiDAR and vision to produce robust and accurate pipe detection. This combined solution is validated with real experimental data.

Suggested Citation

  • Edmundo Guerra & Rodrigo Munguía & Yolanda Bolea & Antoni Grau, 2018. "Detection and Positioning of Pipes and Columns with Autonomous Multicopter Drones," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, June.
    • Handle: RePEc:hin:jnlmpe:2758021
    DOI: 10.1155/2018/2758021
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2018/2758021.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2018/2758021.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/2758021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:2758021. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.