Comparison of Airborne Laser Scanning of Low and High Above Ground Level for Selected Infrastructure Objects

AICARDI, I., et al., 2016. UAV photogrammetry with oblique images: first analysis on data acquisition and processing. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 41.10.5194/isprs-archives-XLI-B1-835-2016Search in Google Scholar

Bolourian, N., et al., 2017. High Level Framework for Bridge Inspection Using LiDAR-equipped UAV. In: ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction. Vilnius Gediminas Technical University, Department of Construction Economics & Property 3. Brede, B., et al., 2017. Comparing RIEGL RiCOPTER UAV LiDAR derived canopy height and DBH with terrestrial LiDAR. Sensors, 17.10: 2371.10.3390/s17102371567740029039755Search in Google Scholar

Colomina, I., & Molina, P., 2014. Unmanned aerial systems for photogrammetry and remote sensing: A review. ISPRS Journal of photogrammetry and remote sensing, 92, 79-97.10.1016/j.isprsjprs.2014.02.013Search in Google Scholar

Ham, Y., et al., 2016. Visual monitoring of civil infrastructure systems via camera-equipped Unmanned Aerial Vehicles (UAVs): a review of related works. Visualization in Engineering, 4.1: 1.10.1186/s40327-015-0029-zSearch in Google Scholar

Hutton, J., et al., 2007. New developments of inertial navigation systems at Applanix. Photogrammetric Week’07, 201-213.Search in Google Scholar

Jiang, S., et al., 2017. UAV-based oblique photogrammetry for outdoor data acquisition and offsite visual inspection of transmission line. Remote Sensing, 9.3: 278.10.3390/rs9030278Search in Google Scholar

Kukko, A. et al., 2012. Multiplatform Mobile Laser Scanning: Usability and Performance. Sensors (Basel, Switzerland) vol. 12, 9 11712–11733.10.3390/s120911712Search in Google Scholar

Kwoczyńska, B.; Dobek, J., 2016. Elaboration of the 3D Model and Survey of the Power Lines Using Data from Airborne Laser Scanning. Journal of Ecological Engineering, 17.4.10.12911/22998993/63954Search in Google Scholar

Matikainen, L., et al., 2016. Remote sensing methods for power line corridor surveys. ISPRS Journal of Photogrammetry and Remote Sensing119: 10-31.10.1016/j.isprsjprs.2016.04.011Search in Google Scholar

Mian, O., et al., 2015. Direct georeferencing on small unmanned aerial platforms for improved reliability and accuracy of mapping without the need for ground control points. The international archives of photogrammetry, remote sensing and spatial information sciences, 40.1: 397.10.5194/isprsarchives-XL-1-W4-397-2015Search in Google Scholar

Moore, A.J., et al., 2017. UAV Inspection of Electrical Transmission Infrastructure with Path Conformance Autonomy and Lidar-based Geofences NASA Report on UTM Reference Mission Flights at Southern Company Flights November 2016. https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20170011048.pdf (view at 20 Oct. 2018).Search in Google Scholar

Rau, J. Y., et al., 2017. Bridge Crack Detection Using Multi-Rotary Uav and Object-Base Image Analysis. The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 42 311.10.5194/isprs-archives-XLII-2-W6-311-2017Search in Google Scholar

Teng, G. E., et al., 2017. Mini-UAV lidar for power line inspection. ISPRS-International of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 297-300.10.5194/isprs-archives-XLII-2-W7-297-2017Search in Google Scholar

Valença, J., et al., 2017. Assessment of cracks on concrete bridges using image processing supported by laser scanning survey. Construction and Building Materials 146): 668-678.10.1016/j.conbuildmat.2017.04.096Search in Google Scholar

Yen, Kin S., et al., 2011. LiDAR for data efficiency. Washington (State). Dept. of Transportation. Office of Research and Library Services.Search in Google Scholar

RIEGL 2017, VUX-1 UAV Datasheet. http://www.riegl.com/uploads/tx_pxpriegldownloads/RIEGL_VUX-1UAV_Datasheet_2017-09-01.pdf (view at 20 Oct. 2018).Search in Google Scholar

RIEGL 2012, LMS-Q680i Datasheet http://www.riegl.com/uploads/tx_pxpriegldownloads/10_DataSheet_LMS-Q680i_28-09-2012_01.pdf (view at 20 Oct. 2018).Search in Google Scholar