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Table 2 UAV-driven methods for construction and building performance monitoring

From: Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works

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 (Gheisari et al. 2014; Irizarry et al. 2012)