Autonomous landing of a helicopter UAV with a ground-based multisensory fusion system

Dianle Zhou; Zhiwei Zhong; Daibing Zhang; Lincheng Shen; Chengping Yan

doi:10.1117/12.2183270

14 February 2015 Autonomous landing of a helicopter UAV with a ground-based multisensory fusion system

Dianle Zhou, Zhiwei Zhong, Daibing Zhang, Lincheng Shen, Chengping Yan

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.

Citation Download Citation

Dianle Zhou, Zhiwei Zhong, Daibing Zhang, Lincheng Shen, and 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); https://doi.org/10.1117/12.2183270

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