Multi Optical Axis Parallelism Detection Method for Multiple UAVs Based on Multi-Sensor Data Fusion

Xin Zhao, Xue Liu, Fuli Qi, Ping Yan, Ling Yang
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Abstract

In recent years, multi-sensor data fusion(DF) technology has been gradually applied in the field of optical axis parallel detection of UAV photoelectric platform. Although it is rarely used and started late, scholars have still made some breakthrough research results. In this paper, multi-sensor DF technology is applied to the multi optical axis parallelism detection(MOAPD) method of multiple UAVs, and the specific operation process of MOAPD and parallelism measurement of multiple UAVs is analyzed; The multi-sensor DF technology is discussed. Through the analysis of data measurement, measurement range and measurement accuracy, the multi optical axis system is tested using the designed measurement system. The effectiveness of the MOAPD method for multi UAVs based on multi-sensor DF is verified.
基于多传感器数据融合的多无人机多光轴平行度检测方法
近年来,多传感器数据融合(DF)技术已逐步应用于无人机光电平台光轴平行检测领域。虽然使用较少,起步较晚,但学者们仍取得了一些突破性的研究成果。本文将多传感器DF技术应用于多无人机多光轴平行度检测(MOAPD)方法中,分析了MOAPD和多无人机平行度测量的具体操作过程;讨论了多传感器DF技术。通过对数据测量、测量范围和测量精度的分析,利用所设计的测量系统对多光轴系统进行了测试。验证了基于多传感器DF的多无人机MOAPD方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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