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Proceedings Paper

Autonomous landing of a helicopter UAV with a ground-based multisensory fusion system
Author(s): Dianle Zhou; Zhiwei Zhong; Daibing Zhang; Lincheng Shen; Chengping Yan
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Paper Abstract

In this study, this paper focus on the vision-based autonomous helicopter unmanned aerial vehicle (UAV) landing problems. This paper proposed a multisensory fusion to autonomous landing of an UAV. The systems include an infrared camera, an Ultra-wideband radar that measure distance between UAV and Ground-Based system, an PAN-Tilt Unit (PTU). In order to identify all weather UAV targets, we use infrared cameras. To reduce the complexity of the stereovision or one-cameral calculating the target of three-dimensional coordinates, using the ultra-wideband radar distance module provides visual depth information, real-time Image-PTU tracking UAV and calculate the UAV threedimensional coordinates. Compared to the DGPS, the test results show that the paper is effectiveness and robustness.

Paper Details

Date Published: 14 February 2015
PDF: 6 pages
Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94451R (14 February 2015); doi: 10.1117/12.2183270
Show Author Affiliations
Dianle Zhou, National Univ. of Defense Technology (China)
Zhiwei Zhong, National Univ. of Defense Technology (China)
Daibing Zhang, National Univ. of Defense Technology (China)
Lincheng Shen, National Univ. of Defense Technology (China)
Chengping Yan, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 9445:
Seventh International Conference on Machine Vision (ICMV 2014)
Antanas Verikas; Branislav Vuksanovic; Petia Radeva; Jianhong Zhou, Editor(s)

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