启动全天红外摄像机阵列,用于检测空中物体
Laura Domine1,2, Ankit Biswas2, Richard Cloete1,2
1Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
利略项目是"利略"的项目.
科学领域:
- 天文学和天体物理学
- 航空航天工程 航空航天工程
- 计算机视觉 计算机视觉
背景情况:
- 关于未识别的空中现象 (UAP) 的科学数据有限.
- 利略项目旨在通过地面观测台来弥补这一差距.
- 现有的UAP研究缺乏严格的,长期的,多模式的数据收集.
研究的目的:
- 为了建立一个新的UAP检测系统的基线性能.
- 收集和分析空中现象的多光谱数据.
- 开发强大的方法来识别和跟踪UAP.
主要方法:
- 使用了一种全天红外摄像机阵列 (FLIR Boson 640).
- 使用自动依赖监控广播 (ADS-B) 数据实现了外部校准.
- 雇佣你只看一次 (YOLO) 和简单的在线和实时跟踪 (SORT) 用于对象检测和轨迹重建.
主要成果:
- 在配备ADS-B的飞机中,达到了41%的验收率.
- 报告了36%的平均每检测效率,受天气和范围的影响.
- 在五个月内重建了大约50万个空中物体轨迹.
- 确定了144个模两可的轨迹,需要进一步调查.
结论:
- 开发的系统为UAP研究提供了基础数据集.
- 检测效率受到环境因素和目标特征的重大影响.
- 需要进一步的传感器模式和动力学数据来确定UAP的确定性.
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