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无人机绝对视觉定位的研究进展

苗宗成 周润玺 柳杰 杨海燕

液晶与显示2025,Vol.40Issue(6):942-955,14.
液晶与显示2025,Vol.40Issue(6):942-955,14.DOI:10.37188/CJLCD.2024-0350

无人机绝对视觉定位的研究进展

Research progress on absolute visual localization of unmanned aerial vehicles

苗宗成 1周润玺 2柳杰 2杨海燕2

作者信息

  • 1. 西京学院 电子信息学院,材料与能源科学技术研究院,陕西 西安 710123||西北工业大学 光电与智能研究院,陕西 西安 710072
  • 2. 西京学院 电子信息学院,材料与能源科学技术研究院,陕西 西安 710123
  • 折叠

摘要

Abstract

In recent years,the application fields of UAV technology have been expanding,covering a wide range of fields such as military and civilian.Especially in the field of absolute visual localization,the introduction of deep learning has brought significant breakthroughs to traditional methods and promoted the technological development in this field.Compared with the early methods relying on traditional computer vision feature extraction,absolute visual localization methods based on deep learning have achieved significant improvements in localization accuracy and robustness.In this paper,we systematically review deep learning-based absolute visual localization methods for UAVs,and explore the application potential and development prospects of absolute visual localization technology by analyzing the limitations of global navigation satellite systems and relative visual localization in complex environments.The key research progress in this field is summarized,including dataset construction and deep learning model optimization,and the current technical bottlenecks are dissected.Finally,future research directions are proposed to further promote the wide application and sustainable development of absolute visual localization technology in the field of autonomous UAV navigation.

关键词

无人机/深度学习/定位/绝对视觉定位

Key words

UAV/deep learning/localization/absolute visual localization

分类

计算机与自动化

引用本文复制引用

苗宗成,周润玺,柳杰,杨海燕..无人机绝对视觉定位的研究进展[J].液晶与显示,2025,40(6):942-955,14.

基金项目

国家自然科学基金(No.52173263) (No.52173263)

国家重点研发计划(No.2022YFB3603703)Supported by National Natural Science Foundation of China(No.52173263) (No.2022YFB3603703)

National Key Research and Development Program of China(No.2022YFB3603703) (No.2022YFB3603703)

液晶与显示

OA北大核心

1007-2780

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