Image-guided height estimation for unmanned helicopter landing

被引：0

作者：

Lien, Shao-Fan ^{[1
]}

Hsia, Kuo-Hsien ^{[2
]}

Su, Juhng-Perng ^{[1
,3
]}

机构：

[1] Graduate School of Engineering Science and Technology, Department of Electrical Engineering, National Yunlin University of Science and Technology, No. 123, University Road, Douliou, Yunlin 64002, Taiwan

[2] Department of Management Information System, Far East University, No. 49, Chung-Hwa Road, Hsin-Shih, Tainan 744, Taiwan

[3] Department of Information Technology, Overseas Chinese University, No. 100, Ciao Kwang Rd., Taichung 40721, Taiwan

来源：

ICIC Express Letters | 2010年 / 4卷 / 6 B期

关键词：

Unmanned aerial vehicles (UAV) - Motion compensation - Stereo image processing - Global positioning system;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Auto landing control is a very important control mode of unmanned helicopter. Global positioning system (GPS) is the typical position sensor for landing control. However, the height measurement error of GPS is so large that it is not accurate enough for helicopter landing. In this paper, we propose a stereo vision system composed with two webcams to provide more accurate height information in certain range of height. The block matching algorithm (BMA) is proposed for searching corresponding points. From the experimental results, BMA can authentically search the corresponding point in low resolution images and can provide an acceptable height estimation result in a reasonable range. © 2010 ISSN 1881-803X.

引用

页码：2299 / 2304

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