Autonomous Landing of a Helicopter UAV with a Ground-Based Multisensory Fusion System

作者:Zhou Dianle*; Zhong Zhiwei; Zhang Daibing; Shen Lincheng; Yan Chengping
来源:7th International Conference on Machine Vision (ICMV), 2014-11-19 To 2014-11-21.
DOI:10.1117/12.2183270

摘要

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 three-dimensional coordinates. Compared to the DGPS, the test results show that the paper is effectiveness and robustness.