https://orcid.org/0000-0003-4611-4161
References
- Nguyen VN, Jenssen R, Roverso D. Automatic autonomous vision-based power line inspection: a review of current status and the potential role of deep learning. Int J Electr Power Energy Syst. 2018;99:107–120.
- Zhang J, Liu L, Wang B, et al. High speed automatic power line detection and tracking for a UAV-based inspection. Proc. 2012 Int. Conf. Ind. Control Electron. Eng. Xi'an, China: ICICEE 2012, 2012, p. 266–269.
- Omar T, Nehdi ML. Remote sensing of concrete bridge decks using unmanned aerial vehicle infrared thermography. Autom Constr. 2017;83:360–371.
- Pratt KS, Murphy R, Stover S, et al. CONOPS and autonomy recommendations for VTOL small unmanned aerial system based on hurricane katrina operations. J. F. Rob. 2009;26(8):636–650.
- Stokkeland M, Klausen K, Johansen TA, Autonomous visual navigation of unmanned aerial vehicle for wind turbine inspection. 2015 Int. Conf. Unmanned Aircr. Syst. Denver, CO, USA: ICUAS 2015, 2015, p. 998–1007.
- Zhang D, Watson R, Dobie G, et al. Quantifying impacts on remote photogrammetric inspection using unmanned aerial vehicles. Eng Struct. 2020 Apr;209:109940.
- Cyberhawk. UAV inspection surveying. 2018.
- Vertex Air. Drone thermal imaging. [Online]. 2018 [cited 2018 Dec 30]. Available from: http://vertexaccess.co.uk/vertexair/services/thermal-imaging/
- FLIR. Inspectahire relies on the FLIR GFx320 optical gas imaging camera for maintenance inspections and hydrocarbon leak detection in the offshore oil and gas industry. [Online]. 2017 [cited 2019 Feb 13]. Available from: http://www.flirmedia.com/inspectahire-relies-on-the-flir-gfx320-optical-gas-imaging-camera-for-maintenance-inspections-and-hydrocarbon-leak-detection-in-the-offshore-oil-and-gas-industry.html
- Li X, Yang Q, Chen Z, et al. Visible defects detection based on UAV-based inspection in large-scale photovoltaic systems. IET Renewable Power Gener. 2017;11(10):1234–1244.
- Meola C, Boccardi S, Carlomagno GM, et al. Nondestructive evaluation of carbon fibre reinforced composites with infrared thermography and ultrasonics. Compos Struct. 2015;134:845–853.
- Menendez E, Victores JG, Montero R, et al. Tunnel structural inspection and assessment using an autonomous robotic system. Autom Constr. 2018;87:117–126.
- Dobie G. Ultrasonic sensor platforms for non-destructive evaluation. 2010 Feb.
- Farlow R. Low noise techniques applied to a piezoceramic receiver for gas coupled ultrasonic flaw detection. 1998.
- Mattar RA, Kalai R. Development of a wall-sticking drone for non-destructive ultrasonic and corrosion testing. Drones. 2018;2(1):8.
- Jarvis R, Cegla F, Kovac M, et al. NDE sensor delivery using unmanned aerial vehicles. Insight Non-Destr Test Condition Monit. 2018;60(8):463–467.
- Kocer BB, Tjahjowidodo T, Pratama M, et al. Inspection-while-flying: an autonomous contact-based nondestructive test using UAV-tools. Autom Constr. 2019;106:102895.
- TexoDrone. UAV integrated UT gauge. [Online]. 2018 [cited 2018 Dec 01]. Available from: https://www.texodroneservices.co.uk/service/uav_integrated_ut
- Apellix. UT. [Online]. 2018 [cited 2018 Dec 12]. Available from: https://www.apellix.com/ut-probe/
- Hellier CJ. Handbook of nondestructive evaluation. United States: Publisher McGraw-Hill Education. 2003.
- Ascending Technologies. AscTec Firefly Technical Data. Online Webpage. [Online]. 2015 [cited 2018 Nov 07]. Available from: http://wiki.asctec.de/display/AR/AscTec+Firefly#AscTecFirefly-TechnicalData
- GB Inspection Systems Ltd. Compression wave 0° probes. [Online]. 2018 [cited 2018 Dec 30]. Available from: https://www.gbinspection.com/products/probes-accessories/compression-wave-0-probes
- Hokuyo. Scanning laser range finder URG-04LX specifications. Online Webpage. [Online]. 2005 [cited 2018 Oct 31]. Available from: https://www.hokuyo-aut.jp/dl/Specifications_URG-04LX_1513063395.pdf
- Araki M. Pid control. Vol. 2. Control Syst Rob Autom. 2002, p. 1–23.
- Vicon. Go further with Vicon MX T-series. [Online]. 2011. [cited 2018 Dec 30]. Available from: https://www.viconpeak.com/downloads/documentation/go-further-with-vicon-mx-t-series
- Macleod CN, Summan R, Dobie G, et al. Quantifying and improving laser range data when scanning industrial materials. IEEE Sens J. 2016;16(22):7999–8009.
- Siegwart R, Nourbakhsh IR, Scaramuzza D. Introduction to autonomous mobile robots. United States: MIT Press; 2011.
- Ramirez-Martinez A, Rodríguez-Olivares NA, Torres-Torres S, et al. Design and validation of an articulated sensor carrier to improve the automatic pipeline inspection. Sensors (Switzerland). 2019;19(6):1394.
- KR AGILUS. KUKA. [Online]. 2015 [cited 2018 Dec 30]. Available from: https://www.kuka.com/en-de/products/robot-systems/industrial-robots/kr-agilus
- Robinson DC, Chung H, Ryan K. Computational investigation of micro helicopter near-wall effect. Proc. 19th Australas. Fluid Mech. Conf. Orlando, FL, USA: AFMC 2014, 2014.
- Pounds PEI, Bersak DR, Dollar AM. Stability of small-scale UAV helicopters and quadrotors with added payload mass under PID control. Auton Rob. 2012;33(1–2):129–142.
- Monteiro LS, Moore T, Hill C. What is the accuracy of DGPS? J Navig. 2005;58(2):207–225.
- Mineo C, Lines D, Cerniglia D. Generalised bisection method for optimum ultrasonic ray tracing and focusing in multi-layered structures. Ultrasonics. 2021;111:106330.