Regular as-built surveys have become a necessary input for building information modelling. Such large-scale 3D data capturing can be conducted effectively by combining structure-from-motion and unmanned aerial vehicles (UAV). Using a RTK-GNSS equipped UAV, 22 repeated weekly campaigns were conducted at two altitudes in various conditions. The photogrammetric approach yielded 3D models, which were compared to the terrestrial laser scanning based ground truth. Better than 2.8 cm geometry RMSE was consistently achieved using integrated georeferencing. It is concluded that the RTK-GNSS based georeferencing enables reaching better than 5 cm geometry accuracy by utilising at least one ground control point.

定期的竣工调查已成为建筑信息建模的必要输入。通过结合运动结构和无人机 (UAV)，可以有效地进行这种大规模的 3D 数据捕获。使用配备 RTK-GNSS 的无人机，在不同条件下的两个高度每周进行 22 次重复的运动。摄影测量方法产生了 3D 模型，并将其与基于地面激光扫描的地面实况进行了比较。使用集成地理配准始终实现优于 2.8 厘米几何形状的 RMSE。结论是，通过利用至少一个地面控制点，基于 RTK-GNSS 的地理配准能够达到优于 5 cm 的几何精度。