BRISK based target localization for fixed-wing UAV's vision-based autonomous landing

Chongyu Pan, Tianjiang Hu, Lincheng Shen
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引用次数: 9

Abstract

In this paper, a Binary Robust Invariant Scalable Keypoints (BRISK) based detection is utilized to facilitate the flying unmanned aerial vehicle (UAV) localization within its autonomous landing on the runway. Specifically, two target detection algorithms are proposed and developed as the BRISK-supported approach. Dataset of images and differential GPS are recorded by a ground stereo vision guidance system. By virtue of the landing dataset, experiments are conducted then. Experimental results validate the effectiveness, in terms of efficiency and accuracy, of the proposed target localization algorithms for the fixed-wing aerial vehicle's autonomous landing.
基于BRISK的固定翼无人机视觉自主着陆目标定位
本文提出了一种基于二值鲁棒不变量可扩展关键点(BRISK)的检测方法,以促进无人机在跑道自主着陆过程中的定位。具体来说,本文提出并开发了两种基于brisk的目标检测算法。通过地面立体视觉制导系统记录图像和差分GPS数据集。然后利用着陆数据集进行实验。实验结果验证了所提出的固定翼飞行器自主着陆目标定位算法在效率和精度方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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