PSI - Issue 42

ScienceDirect ŝ ƚ Structural Integrity Procedia 00 (2019) 000 – 000 Available online at www.sciencedirect.com Available online at www.sciencedirect.com ^ĐŝĞŶĐĞ ŝƌĞĐƚ Structural Integrity Procedia 00 (2019) 000 – 000 vailable online at .sciencedirect.co ŝ

www.elsevier.com/locate/procedia .elsevier.co /locate/procedia

Procedia Structural Integrity 42 (2022) 1121–1127

23 European Conference on Fracture - ECF23 3D tools for building and infrastructures inspection from thermal UAS data: first steps r ea fere ce ract re - t l il i i t t i ti t l t : i t t

Alfonso Lopez a , Juan M. Jurado b , Antonio Garrido a , Ramón Lopez c , Ana I. López c , Francisco R. Feito a Alfonso Lopez a , J . J r o b , A t i rri a , c , c , r is . it a na I.

a Department of Computer Science, University of Jaén, Campus Las Lagunillas s/n 23071 b Department of Software Engineering, University of Granada c Albaida Infraestructuras, S.A a epart ent of Co puter Science, University of Jaén, Ca pus Las Lagunillas s/n 23071 b Department of Software Engineering, University of Granada c Albaida Infraestructuras, S.A

© 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 23 European Conference on Fracture – ECF23 Abstract Thermal imaging has been widely used for the inspection of human-made and natural scenarios, from electrical installations and advanced machinery to buildings. Regarding buildings, it can be used to assess problems concerning heat, airflows, and water. Hence, thermography has been increasingly applied to the energy efficiency of new and old buildings. Some examples of applications are the detection of heating and cooling losses, moisture sources, missing insulation, floor heating failures, and the evaluation of building restorations. However, the main drawback of thermal imagery is its reduced resolution, e.g., 640x512, which is significantly lower than RGB imagery. In the case of buildings, cameras or thermal sensors mounted on UAS (Unmanned Aerial System) offer a wider range of possibilities by acquiring areas not accessible by other surveying methods. This paper presents a tool that allows building dense 3D thermal point clouds applied to conserving buildings and infrastructures inspection. Also, the aim of this work is to provide a visualization solution of the generated point clouds, thus allowing a human operator to analyze building defects. Accordingly, the rendering is improved by taking advantage of modern Graphical Processing Unit (GPU) capabilities, while also considering the occlusion for the accurate assignment of thermal information to the point cloud. Due to the high response time of the procedure, the complete pipeline is accelerated using GPU programming. Finally, our method is proven to generate point clouds with a higher number of points and density than notable commercial solutions, while also lowering the response time. © 20 The Authors. Published by Elsevier B.V. is is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) r-review under responsibility of 23 European Conference on Fracture - ECF23 Keywords: Building, Infrastructures, Thermal, Drones, Insulation Failures bstract Ther al i aging has been idely used for the inspection of hu an- ade and natural scenarios, fro electrical installations and advanced achinery to buildings. egarding buildings, it can be used to assess proble s concerning heat, airflo s, and ater. ence, ther ography has been increasingly applied to the energy efficiency of ne and old buildings. So e exa ples of applications are the detection of heating and cooling losses, oisture sources, issing insulation, floor heating failures, and the evaluation of building restorations. o ever, the ain dra back of ther al i agery is its reduced resolution, e.g., 640x512, hich is significantly lo er than i agery. In the case of buildings, ca eras or ther al sensors ounted on S ( n anned erial Syste ) offer a ider range of possibilities by acquiring areas not accessible by other surveying ethods. This paper presents a tool that allo s building dense 3 ther al point clouds applied to conserving buildings and infrastructures inspection. lso, the ai of this ork is to provide a visualization solution of the generated point clouds, thus allo ing a hu an operator to analyze building defects. ccordingly, the rendering is i proved by taking advantage of odern raphical Processing nit ( P ) capabilities, hile also considering the occlusion for the accurate assign ent of ther al infor ation to the point cloud. ue to the high response ti e of the procedure, the co plete pipeline is accelerated using P progra ing. Finally, our ethod is proven to generate point clouds ith a higher nu ber of points and density than notable co ercial solutions, hile also lo ering the response ti e. 2020 The uthors. Published by Elsevier . . This is an open access article under the - - license (http://creativeco ons.org/licenses/by-nc-nd/4.0/) Peer-revie under responsibility of 23 European onference on Fracture - E F23 Keywords: Building, Infrastructures, Ther al, rones, Insulation Failures

2452-3216 © 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of 23 European Conference on Fracture - ECF23 2452-3216 2020 The uthors. Published by Elsevier B. . This is an open access article under the CC B - C- license (http://creativeco ons.org/licenses/by-nc-nd/4.0/) Peer-revie under responsibility of 23 European onference on Fracture - E F23

2452-3216 © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the 23 European Conference on Fracture – ECF23 10.1016/j.prostr.2022.12.143