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- Title
级联特征点检测的锥套小目标快速检测定位算法.
- Authors
李旺灵; 孙永荣; 曾庆化; 王国屹; 赵伟
- Abstract
In order to improve the detection accuracy and real-time performance of small drogue in autonomous aerial refueling of UAV, this paper proposed a fast and accurate location algorithm for small drogue based on cascade network and feature point detection network. It designed a two-stage detection neural network structure for global rough localization and local precise localization of drogue, and used the output position error of feature points and the elliptic parameter error of feature group fitting to design the loss function of the network. The method used the size and location of the drogue to correct tracking algorithm. The experimental results show that the proposed algorithm has a successful localization rate of more than 95%, a localization accuracy of more than 80 %, and a localization output rate of 100 Hz. It has a strong adaptability to the changes of the environment. In summary, the algorithm can track the drogue target quickly and accurately, and has important research significance for the development of U A V aerial refueling technology.
- Subjects
AIRPLANE air refueling; CASCADE connections; TRACKING algorithms; COST functions; BOEING 767 (Jet transport); BEACONS
- Publication
Application Research of Computers / Jisuanji Yingyong Yanjiu, 2020, Vol 37, Issue 6, p1871
- ISSN
1001-3695
- Publication type
Article
- DOI
10.19734/j.issn.1001-3695.2018.12.0920