14 February 2015 Autonomous landing of a helicopter UAV with a ground-based multisensory fusion system
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Proceedings Volume 9445, Seventh International Conference on Machine Vision (ICMV 2014); 94451R (2015) https://doi.org/10.1117/12.2183270
Event: Seventh International Conference on Machine Vision (ICMV 2014), 2014, Milan, Italy
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.
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Dianle Zhou, Dianle Zhou, Zhiwei Zhong, Zhiwei Zhong, Daibing Zhang, Daibing Zhang, Lincheng Shen, Lincheng Shen, Chengping Yan, Chengping Yan, } "Autonomous landing of a helicopter UAV with a ground-based multisensory fusion system", Proc. SPIE 9445, Seventh International Conference on Machine Vision (ICMV 2014), 94451R (14 February 2015); doi: 10.1117/12.2183270; https://doi.org/10.1117/12.2183270
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