References
- 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.
- 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.
- 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.
- 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.
- Hutton, J., et al., 2007. New developments of inertial navigation systems at Applanix. Photogrammetric Week’07, 201-213.
- 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.
- Kukko, A. et al., 2012. Multiplatform Mobile Laser Scanning: Usability and Performance. Sensors (Basel, Switzerland) vol. 12, 9 11712–11733.
- 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.
- Matikainen, L., et al., 2016. Remote sensing methods for power line corridor surveys. ISPRS Journal of Photogrammetry and Remote Sensing119: 10-31.
- 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.
- 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).
- 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.
- 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.
- 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.
- Yen, Kin S., et al., 2011. LiDAR for data efficiency. Washington (State). Dept. of Transportation. Office of Research and Library Services.
- 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).
- 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).