A Survey on Vision-based Sensing and Pose Estimation Methods for UAV Autonomous Landing

被引：0

作者：

Ma, Ning ^{[1
]}

Cao, Yun-Feng ^{[1
]}

机构：

[1] College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2024年 / 50卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Autonomous landing; information fusion; landing site detection; machine vision; pose estimation; unmanned aerial vehicle (UAV);

D O I：

10.16383/j.aas.c230557

中图分类号：

学科分类号：

摘要：

Autonomous landing technology is the most challenging technology to restrict the improvement of unmanned aerial vehicle (UAV) autonomy level. Focusing on the core problem of autonomous landing technology of UAV——Landing site detection and pose estimation, the research progress in this field in the past decade is summarized in this paper, which is on the basis of the development demand of vision-based autonomous landing technology in the future. First of all, on the basis of analyzing the application demand for UAV autonomous landing, the advantages of the application of machine vision in the field of UAV autonomous landing are pointed out, and the existing scientific problems are summarized. Secondly, the landing site detection algorithms are sorted according to different application scenarios. Then, the research progress of pose estimation technology based on vision and multiinformation fusion are summarized, respectively. Finally, the challenges to be solved in this field are summarized, and future technical development trends are introduced. © 2024 Science Press. All rights reserved.

引用

页码：1284 / 1304

页数：20

共 104 条

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