HIGH-RESOLUTION MULTISENSOR INFRASTRUCTURE INSPECTION WITH UNMANNED AIRCRAFT SYSTEMS

34 citations as recorded by crossref.

1. On the application of drones: a progress report in mining operations K. Said et al. https://doi.org/10.1080/17480930.2020.1804653
2. Unmanned aerial system applications in construction: a systematic review S. Zhou & M. Gheisari https://doi.org/10.1108/CI-02-2018-0010
3. Exploring conditions and usefulness of UAVs in the BRAIN Massive Inspections Protocol C. Serrat et al. https://doi.org/10.1515/eng-2019-0004
4. Review of Robotic Infrastructure Inspection Systems D. Lattanzi & G. Miller https://doi.org/10.1061/(ASCE)IS.1943-555X.0000353
5. UAS Point Cloud Accuracy Assessment Using Structure from Motion–Based Photogrammetry and PPK Georeferencing Technique for Building Surveying Applications J. Martinez et al. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000936
6. Concrete Crack Identification Using a UAV Incorporating Hybrid Image Processing H. Kim et al. https://doi.org/10.3390/s17092052
7. Implementing Remote-Sensing Methodologies for Construction Research: An Unoccupied Airborne System Perspective S. Zhang et al. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002347
8. Bridge related damage quantification using unmanned aerial vehicle imagery A. Ellenberg et al. https://doi.org/10.1002/stc.1831
9. The Use of Laser Scanning and Unmanned Aerial Vehicles in Construction Surveying in the Light of Legal Regulations in Poland E. Puniach & A. Kwartnik-Pruc https://doi.org/10.2478/jaes-2018-0022
10. Use of Unmanned Aerial Vehicle for Quantitative Infrastructure Evaluation A. Ellenberg et al. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000246
11. BridgeDex : Proposed Web GIS Platform for Managing and Interrogating Multiyear and Multiscale Bridge-Inspection Images F. Javadnejad et al. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000710
12. Automated Generation of an Energy Simulation Model for an Existing Building from UAV Imagery P. Gorzalka et al. https://doi.org/10.3390/buildings11090380
13. Application of Crack Identification Techniques for an Aging Concrete Bridge Inspection Using an Unmanned Aerial Vehicle I. Kim et al. https://doi.org/10.3390/s18061881
14. An evaluation of image-based structural health monitoring using integrated unmanned aerial vehicle platform M. Akbar et al. https://doi.org/10.1002/stc.2276
15. A Simulation Framework for Pre-Flight Coverage and Quality Assessment of UAV Bridge Inspection Routes Under Wind Disturbance A. Jendoubi et al. https://doi.org/10.3390/mca31050222
16. Eyes in the Sky: Drones Applications in the Built Environment under Climate Change Challenges N. Bayomi & J. Fernandez https://doi.org/10.3390/drones7100637
17. Facility inspection using UAVs: a case study in the University of Georgia campus J. Moore et al. https://doi.org/10.1080/01431161.2018.1515510
18. A Deep Learning Approach for Surface Crack Classification and Segmentation in Unmanned Aerial Vehicle Assisted Infrastructure Inspections S. Egodawela et al. https://doi.org/10.3390/s24061936
19. Human detection of drone invasion in a low‐altitude airspace: An application of signal detection theory K. Li et al. https://doi.org/10.1002/hfm.20759
20. Synthesis of Unmanned Aerial Vehicle Applications for Infrastructures L. Duque et al. https://doi.org/10.1061/(ASCE)CF.1943-5509.0001185
21. On the use of robots and vision technologies for the inspection of vessels: A survey on recent advances F. Bonnin-Pascual & A. Ortiz https://doi.org/10.1016/j.oceaneng.2019.106420
22. New Crack Detection Method for Bridge Inspection Using UAV Incorporating Image Processing B. Lei et al. https://doi.org/10.1061/(ASCE)AS.1943-5525.0000879
23. Unmanned Aerial Vehicles and Artificial Intelligence Technologies as a Tool for Automating of Thermal Power Plant Boiler Monitoring M. Kalyagin et al. https://doi.org/10.3103/S1068798X24701971
24. UAV Bridge Inspection through Evaluated 3D Reconstructions S. Chen et al. https://doi.org/10.1061/(ASCE)BE.1943-5592.0001343
25. A novel automated crack identification method for concrete bridge structure using an unmanned aerial vehicle C. Truong et al. https://doi.org/10.1088/1757-899X/1289/1/012037
26. Determination of blast-induced flyrock using a drone technology: a bibliometric overview with practical soft computing implementation A. Lawal et al. https://doi.org/10.1007/s12517-022-10770-7
27. Robots in Inspection and Monitoring of Buildings and Infrastructure: A Systematic Review S. Halder & K. Afsari https://doi.org/10.3390/app13042304
28. Unmanned Aerial Vehicle Movement Trajectory Detection in Open Environment E. Klavins & V. Zagursky https://doi.org/10.1016/j.procs.2017.01.152
29. Machine learning techniques for robotic and autonomous inspection of mechanical systems and civil infrastructure M. Macaulay & M. Shafiee https://doi.org/10.1007/s43684-022-00025-3
30. Application of Deep Learning and Unmanned Aerial Vehicle on Building Maintenance R. Kung et al. https://doi.org/10.1155/2021/5598690
31. Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint S. Hayat et al. https://doi.org/10.1109/COMST.2016.2560343
32. Bridge Crack Inspection Efficiency of an Unmanned Aerial Vehicle System with a Laser Ranging Module S. Kao et al. https://doi.org/10.3390/s22124469
33. Development of the performance evaluation method for small multicopter vertical mobility in a narrow environment T. Yamada et al. https://doi.org/10.1080/01691864.2025.2573056
34. Virtual reality visualisation of automatic crack detection for bridge inspection from 3D digital twin generated by UAV photogrammetry A. Yasin Yiğit & M. Uysal https://doi.org/10.1016/j.measurement.2024.115931