Digitalization in the construction industry enables the use of automatic monitoring with different data acquisition methods compared to manual traditional monitoring approaches. In current research, 3D point cloud data is mainly acquired by imaging technologies, such as image reconstruction or TLS. To overcome limitations by these technologies, we introduce acquisition of 3D point cloud data on construction sites using LIDAR sensors mounted on cranes. This work is split into a simulation and case study to determining a suitable sensor position and to collect scans over several time periods on a real construction site. Based on a BIM of the real construction site and properties of the Blickfeld Cube 1 Outdoor LIDAR sensor used in this work, we found a suitable scanner position near the crane's cabin to maximize the covered area. An evaluation of 221 scans acquired in the case study shows the importance of a compromise between the scan interval and scanner position, which is affected by crane's rotation limiting the ability to capture specific areas of the constructions site consistently. The LIDAR sensor used in the case study provides sufficient detail and quality to visually derive progress, showing the potential for automatic construction monitoring use cases.     «

Digitalization in the construction industry enables the use of automatic monitoring with different data acquisition methods compared to manual traditional monitoring approaches. In current research, 3D point cloud data is mainly acquired by imaging technologies, such as image reconstruction or TLS. To overcome limitations by these technologies, we introduce acquisition of 3D point cloud data on construction sites using LIDAR sensors mounted on cranes. This work is split into a simulation and cas...     »