基于iGPS的本地点云数据的大规模和高精度全球化校准方法
Rui Han1,2,3, Thomas Dunker1, Erik Trostmann1
1Fraunhofer Institute for Factory Operation and Automation IFF, Sandtorstrasse 22, 39106 Magdeburg, Germany.
Sensors (Basel, Switzerland)
|September 28, 2024
概括
本研究介绍了一种使用室内全球定位系统 (iGPS) 的方法,以准确地将小型,本地点云测量结果结合成一个大型,全球模型. 这种技术对于高精度测量大型元件非常有价值.
科学领域:
- 计量学 计量学 计量学
- 地理学工程 工程地质学
- 计算机视觉 计算机视觉
背景情况:
- 点云数据提供了高精度和密度,但在空间范围上是有限的.
- 全球化本地点云数据对于准确测量大型组件至关重要.
研究的目的:
- 提出一种新的方法,用于高精度的全球化当地的点云数据.
- 在点云全球化中引入不同应用场景的校准模型.
主要方法:
- 使用室内全球定位系统 (iGPS) 作为外部测量设备.
- 开发和应用两个不同的校准模型,以适应特定的用例.
- 进行验证实验,以评估拟议方法的准确性和精度.
主要成果:
- 在两个拟议的校准模型中,平均校准误差为0.12mm和0.17mm.
- 在很大的空间范围内 (大约10m × 10m × 5m) 证明了持续的校准精度.
结论:
- 提出的基于iGPS的方法有效地实现了本地点云数据的高精度全球化.
- 该方法在大体积上保持了精度,为需要精确的大规模测量的工程应用提供了显著的价值.
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