Table 2 UAV-driven methods for construction and building performance monitoring
Application | Data Analytics | Integration with BIM | Literature | |
|---|---|---|---|---|
Progress monitoring | • BIM-assisted image-based 3D & 4D reconstruction | • Leveraging spatial and temporal information in 4D BIM for monitoring work-in-progress | Y | (Lin, Han, Fukuchi et al. 2015a) |
• Appearance-based reasoning about progress deviations | Y | (Han et al. 2015) | ||
• Image-based 3D & 4D reconstruction | • Measuring mass excavation | Y | (Lin, Han & Golparvar-Fard 2015) | |
• Surface reconstructed • Multi-sensors fusion (GPS, IMU, vision-based panoramic tracker) for data registration in mobile AR system | Y | (Zollmann et al. 2014) | ||
• Surface reconstructed • 4D visualization with multiple levels of detail | Y | (Zollmann et al. 2012) | ||
• Geometry-based change detection. | N | (Kluckner et al. 2011) | ||
Site monitoring | • Integrating aerial images and virtual rendering scenes (3D models) for a WLAN-based AR system | Y | (Wen et al. 2014) | |
Building inspection | • Image-based 3D reconstruction and meshing | N | (Wefelscheid et al. 2011) | |
• 3D mapping of earthquake damages buildings using RGB-D sensors and 3D rotating laser scanners | N | (Michael et al. 2014) | ||
• Image stitching for large façade reconstruction • Edge detection for identifying cracks on building façades | N | (Eschmann 2999) | ||
Building measurement | • Image-based 3D reconstruction using a four-camera system mounted on the UAV • Extracting roof contours | Y | (Xie et al. 2012) | |
Surveying | • Image-based 3D reconstruction • Geo-referencing by using time-stamped GPS Data or PhotoScan software • 3D mapping for monitoring earthmoving | N | (Siebert & Teizer 2014) | |
• Image-based 3D reconstruction • Image segmentation and Orthophoto mapping | N | (Fiorillo et al. 2012) | ||
Safety inspection | • Visual inspection for counting hardhats in images under different environmental conditions | N | ||