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Content Provider | IEEE Xplore Digital Library |
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Author | Luo Kezheng Miao Huanzhou Wang Lang |
Copyright Year | 2015 |
Description | Author affiliation: Ningbo Inst. of Technol., Zhejiang Univ., Ningbo, China (Luo Kezheng; Miao Huanzhou; Wang Lang) |
Abstract | To solve the problem of lateral navigation control of quadrotors aircraft, a new recognition algorithm of landmark with multi angle observations is proposed. According to the characteristics of landmark, the image is divided into two parts with circle and character H. The analysis reveals a geometric correlation exits between corner points of character H. The correlation has a low sensitivity to rotation post and environment. The results show that recognition algorithm based on corner points not only keeps the real time performance but also detects landmarks at any degree of rotation in the 2D image plane from the air, and outperforms linear feature algorithms. In the end, results of recognition experiments verify the effectiveness of the approach. And the algorithms meets the demands of lateral navigation control of quadrotors aircraft with such advantages as high accuracy, good reliability. |
Starting Page | 1437 |
Ending Page | 1440 |
File Size | 577040 |
Page Count | 4 |
File Format | |
e-ISBN | 9781467391047 |
DOI | 10.1109/ICInfA.2015.7279512 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-08-08 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Algorithm design and analysis Image recognition quadrotors aircraft computer vision Aircraft navigation corner point Planning Character recognition Aircraft Aerospace control |
Content Type | Text |
Resource Type | Article |
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