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MMFW-UAV数据集:用于空对空视觉任务的多传感器和多视图固定翼无人机数据集

Yang Liu¹, Zhihao Sun¹, Lele Xi²

¹National Key Lab of Autonomous Intelligent Unmanned Systems, Beijing Institute of Technology, Beijing, 100081, China.

Scientific data

|January 30, 2025

概括

我们介绍了MMFW-UAV,这是一款用于固定翼无人机 (UAV) 检测的新型多式联机数据集. 这种高质量的数据集有助于推进无人机识别和监控技术.

科学领域:

计算机视觉计算机视觉
人工智能的人工智能
航空航天工程航空航天工程

背景情况:

固定翼无人机 (UAV) 越来越多地用于各种应用,需要强大的检测和监控系统.
现有的数据集往往缺乏全面无人机分析所需的多模式和多视图多样性.
准确识别和跟踪固定翼无人机对于空域管理和安全至关重要.

研究的目的:

引入MMFW-UAV数据集,这是第一个专门针对固定翼无人机的一对一多模式图像数据集.
提供一个全面的资源,涵盖各种无人机外观,飞行条件和空中视角.
促进对固定翼无人机基于深度学习的物体检测的研究和开发.

主要方法:

MMFW-UAV数据集包括147,417张使用变焦,广角和热传感器捕获的固定翼无人机图像.
图像从多个空中视角获得,包括自上而下的,水平的和自下而上的视角.
严格的质量控制,包括半自动注释,手动检查和细化,确保了高质量的注释.

主要成果:

使用主流深度学习对象检测架构评估了MMFW-UAV数据集.
实验结果证明了数据集在固定翼无人机识别,检测和监测方面的有效性.
数据集的多模式和多视图性质在不同的检测场景中被证明是有效的.

结论:

MMFW-UAV数据集对无人机遥感和计算机视觉领域做出了重大贡献.
它为开发和测试先进的无人机检测算法提供了有价值的基准.
该数据集预计将加速利用固定翼无人机技术的研究和应用.

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