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基于深度学习的无人机搜救方法研究进展

PENG Bo BAI Jikang CHEN Weiwen ZHENG Xiangtao LEI Jianjun LU Xiaoqiang

航空学报2025，Vol.46Issue(23)：1-18,18.

航空学报2025，Vol.46Issue(23)：1-18,18.DOI:10.7527/S1000-6893.2025.32761

基于深度学习的无人机搜救方法研究进展

Research progress for UAV search and rescue methods based on deep learning

PENG Bo ¹BAI Jikang ²CHEN Weiwen ³ZHENG Xiangtao ³LEI Jianjun ⁴LU Xiaoqiang³

作者信息

1. School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China||The International Joint Institute of Tianjin University,Tianjin University,Tianjin 300072,China
2. The International Joint Institute of Tianjin University,Tianjin University,Tianjin 300072,China||College of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,China
3. College of Physics and Information Engineering,Fuzhou University,Fuzhou 350108,China
4. School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China
折叠

摘要

Abstract

With the development of artificial intelligence technology,Unmanned Aerial Vehicles(UAVs)can automati-cally identify and locate objects of interest by equipping different optoelectronic payloads,and are used for Search and Rescue(SaR)missions in disaster environments.UAV search and rescue missions require the rapid location of miss-ing persons in complex and dangerous environments,facing challenges such as single detection technique,suscepti-bility to interference during imaging,complex background,and limited UAV platform resources.In recent years,the integration of UAV systems with deep learning algorithms has emerged as a prominent research focus.To demon-strate the advancement of UAV search and rescue techniques,the review of these methodologies has been con-ducted.Firstly,the difficulties faced by UAV search and rescue are analyzed according to the characteristics of UAV search and rescue missions.Subsequently,various UAV search and rescue methods based on deep learning in re-cent years are sorted out.Additionally,object detection datasets relevant to UAV search and rescue missions have been sorted out according to different data types.Finally,the problems of current research and future development di-rections are summarized.

关键词

无人机搜救/深度学习/目标检测/探测手段/成像环境干扰

Key words

UAV search and rescue/deep learning/object detection/detection technique/imaging environment interference

分类

航空航天

引用本文复制引用

PENG Bo,BAI Jikang,CHEN Weiwen,ZHENG Xiangtao,LEI Jianjun,LU Xiaoqiang..基于深度学习的无人机搜救方法研究进展[J].航空学报,2025,46(23):1-18,18.

基金项目

国家自然科学基金(62271484) National Natural Science Foundation of China(62271484) （62271484）

航空学报

OA北大核心

ISSN：1000-6893

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