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无人机绝对视觉定位的研究进展

Research progress on absolute visual localization of unmanned aerial vehicles
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摘要 近年来,无人机(UAV)技术的应用领域不断扩展,涵盖了军事、民用等多个领域。特别是在绝对视觉定位领域,深度学习的引入为传统方法带来了显著突破,促进了该领域的技术发展。与依赖传统计算机视觉特征提取的早期方法相比,基于深度学习的绝对视觉定位方法在定位精度与鲁棒性方面取得了显著提升。本文系统综述了基于深度学习的无人机绝对视觉定位方法,通过分析全球导航卫星系统和相对视觉定位在复杂环境中的局限性,探讨了绝对视觉定位技术的应用潜力与发展前景。然后,归纳了该领域的关键研究进展,包括数据集构建与深度学习模型优化,剖析了当前的技术瓶颈。最后,提出了未来研究方向,以进一步推动绝对视觉定位技术在无人机自主导航领域的广泛应用与持续发展。 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.
作者 苗宗成 周润玺 柳杰 杨海燕 MIAO Zongcheng;ZHOU Runxi;LIU Jie;YANG Haiyan(Technological Institute of Materials&Energy Science(TIMES),School of Electronic Information,Xijing University,Xi'an 710123,China;School of Artificial Intelligence,Optics and Electronics(iOPEN),Northwestern Polytechnical University,Xi'an 710072,China)
出处 《液晶与显示》 北大核心 2025年第6期942-955,共14页 Chinese Journal of Liquid Crystals and Displays
基金 国家自然科学基金(No.52173263) 国家重点研发计划(No.2022YFB3603703)。
关键词 无人机 深度学习 定位 绝对视觉定位 UAV deep learning localization absolute visual localization
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