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.
|Title of host publication||Advances in Manufacturing Technology XXXIII|
|Subtitle of host publication||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|
|Editors||Yan Jin, Mark Price|
|Place of Publication||Amsterdam|
|Number of pages||8|
|ISBN (Electronic)||ISSN 2352-7528|
|ISBN (Print)||ISSN 2352-751X|
|Publication status||Published - 10 Sep 2019|
- Matching algorithm
- Binocular vision
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.