Research on new stereo matching algorithm of multi-rotor UAV based on vision

Haixin Wang, Yan Jin, Jianxin Shen

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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Abstract

The application of multi-rotor UAV in vision has been developed rapidly in recent years, and multi-rotor unmanned aerial vehicles (UAV) can’t be widely used without the aid of visual system. The application of visual technology in UAV has attracted more and more attention with the continuous development of image processing and environment reconstruction technology. Getting accurate depth map from the stereo image has always been the pursuit of researchers. Stereo matching is the most important part of stereo vision. An improved matching algorithm is proposed to solve the problems of high image noise and low image accuracy in binocular vision imaging of multi-rotor UAV after binocular information fusion. Experimental results show that the proposed algorithm has advantages in accuracy compared with other algorithms. The validity and reliability of the proposed stereo matching algorithm for multi-rotor UAV based on binocular vision are verified by indoor simulation tests and real environment tests of a UAV.
Original languageEnglish
Title of host publicationAdvances in Manufacturing Technology XXXIII
Subtitle of host publicationProceedings of the 17th International Conference on Manufacturing Research, incorportating the 34th National Conference on Manufacturing Research, 10 - 12 September 2019, Queen's University Belfast UK
EditorsYan Jin, Mark Price
Place of PublicationAmsterdam
PublisherIOS Press
Pages113-120
Number of pages8
Volume9
ISBN (Electronic)ISSN 2352-7528
ISBN (Print)ISSN 2352-751X
Publication statusPublished - 10 Sep 2019

Keywords

  • Matching algorithm
  • UAV
  • Binocular vision

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  • Cite this

    Wang, H., Jin, Y., & Shen, J. (2019). Research on new stereo matching algorithm of multi-rotor UAV based on vision. In Y. Jin, & M. Price (Eds.), Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorportating the 34th National Conference on Manufacturing Research, 10 - 12 September 2019, Queen's University Belfast UK (Vol. 9, pp. 113-120). IOS Press.