Research on computer vision-based for UAV autonomous landing on a ship

被引:79
|
作者
Xu, Guili [1 ]
Zhang, Yong [1 ]
Ji, Shengyu [1 ]
Cheng, Yuehua [1 ]
Tian, Yupeng [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Jiangsu, Peoples R China
关键词
UAV; Autonomous landing; Computer vision; Affine moment invariants;
D O I
10.1016/j.patrec.2008.12.011
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a novel approach to UAV's automatic landing on the ship's deck is proposed. We present the design of the cooperative object, and then begin our basic research on UAV autonomous landing on a ship by using Computer vision and affine moment invariants. We analyze the infrared radiation images in our experiments by extracting the target from the background and then recognizing it. Also, we calculate the angle of yaw. We study the basic research concerning automatic UAV navigation and landing on the deck. Based on Our experiments, the average recognition time is 17.2 ms which is obtained through the use Of affine moment invariants. This type of speed is expected to improve the reliability and real-time performance of autonomous UAV landing. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:600 / 605
页数:6
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