一个时间同步的多传感器无人机数据集,从多个雷达和射频接收器中获取
Seung-Kyu Han1, Young-Ho Jung2
1School of Electronics and Information Engineering, Korea Aerospace University, Goyang-si, 10540, Republic of Korea.
一个新的多传感器无人机数据集结合了频率调制连续波 (FMCW) 雷达,连续波 (CW) 雷达和射频 (RF) 信号. 该资源有助于开发先进的无人机检测和分类系统.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 信号处理 信号处理
- 人工智能的人工智能
背景情况:
- 无人机的扩散带来了重大的安全挑战.
- 现有的数据集往往缺乏多模式传感器数据,阻碍了全面的系统开发.
- 需要同步的多传感器数据来进行强大的无人机检测.
研究的目的:
- 为无人机检测和分类引入一种新的,时间同步的多传感器数据集.
- 促进开发和评估人工智能驱动的无人机安全解决方案.
- 为了使多式联通传感器融合和距离感知分类的研究.
主要方法:
- 从FMCW雷达,CW雷达和射频接收器收集时间同步的信号.
- 从4架商用无人机和1架非无人机目标获取数据,距离不同 (2-30米).
- 包括原始和加工信号 (范围多普勒图,多普勒光谱,功率光谱密度).
主要成果:
- 一个全面的数据集,可以直接比较和融合多传感器信号.
- 促进了用于无人机检测的信号级和基于图像的分析.
- 为评估基于AI的检测算法提供了一个可靠的资源.
结论:
- 这一数据集对于推进无人机检测和分类技术至关重要.
- 它支持多式联通传感器融合策略和AI学习模型的开发.
- 这一资源将加速无人机安全和监视领域的研究.
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