| 引用本文: | 李庚松,刘艺,郑奇斌,杨国利,刘坤,王强,刁兴春.无人机多传感器数据融合研究综述.软件学报,2025,36(4):1881-1905 |
| |
|
| 摘要: |
| 随着相关技术的快速发展, 无人机所搭载的传感器愈发精确和多样, 赋予了无人机强大的感知能力, 也使得多传感器数据的处理分析成为无人机应用的一大挑战. 数据融合是解决这一问题的关键技术, 其通过检测、关联、组合、估计的流程实现多传感器数据的融合利用, 获取准确的无人机状态和目标信息为决策提供支撑. 对无人机的多传感器数据融合研究展开综述: 介绍无人机系统组成; 回顾并分类无人机多传感器数据融合方法, 在此基础上分析比较各类方法的特点; 归纳概述无人机多传感器数据融合在不同领域中的应用现状; 最后展望无人机多传感器数据融合的未来发展方向. |
| 关键词: 无人机 多传感器 数据融合 动态系统状态估计 特征提取 |
| DOI：10.13328/j.cnki.jos.007273 |
| 分类号: |
| 基金项目:国家自然科学基金青年科学基金(72201275); 第八届中国科协青年人才托举工程(2022QNRC001) |
|
| Review on Multi-sensor Data Fusion Research for Unmanned Aerial Vehicles |
|
LI Geng-Song1, LIU Yi2, ZHENG Qi-Bin2, YANG Guo-Li2, LIU Kun2, WANG Qiang2, DIAO Xing-Chun1
|
|
1.National Innovation Institute of Defense Technology, Beijing 100071, China;2.Academy of Military Sciences, Beijing 100091, China
|
| Abstract: |
| With the rapid development of related technologies, sensors carried by unmanned aerial vehicles (UAVs) are becoming more precise and multifarious, which endows UAVs with strong sensing ability, and poses a large challenge to the processing and analysis of multi-sensor data in UAV applications. Data fusion is the key technology to solve this problem, which realizes the fusion and utilization of multi-sensor data through the process of detection, association, combination and estimation, and obtains accurate UAV state and target information to support decision-making. This study reviews the multi-sensor data fusion research for UAVs. It introduces UAV system components, reviews and classifies UAV multi-sensor data fusion methods, analyzes and compares the characteristics of various methods, summarizes the applications of UAV multi-sensor data fusion in different fields, and finally looks forward to the future development directions of UAV multi-sensor data fusion. |
| Key words: unmanned aerial vehicle (UAV) multi-sensor data fusion dynamic system state estimation feature extraction |
