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Journal of Building Engineering 62 (2022) 105190 Available online 5 September 2022 2352-7102/© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Evaluation of records using terrestrial laser scanner in architectural heritage for information modeling in HBIM construction: The case study of the La Anunciaci´ on church (Seville) Juan Moyano a , * , ´ Angel Justo-Estebaranz b , Juan E. Nieto-Juli´ an a , Alfonso Ojeda Barrera c , María Fern´ andez-Alconchel a a University of Seville, Department of Graphical Expression and Building Engineering, Ave.Reina Mercedes, 4A, 41012, Seville, Spain b University of Seville, Director of the SGI Fototeca-Laboratorio de Arte, Spain c University of Seville, Laboratory Technician Specialist of the SGI Fototeca-Laboratorio de Arte (CITIUS), Spain ARTICLE INFO Keywords: Terrestrial laser scanner Leica BLK360 Riegl VZ400i Scan to BIM ABSTRACT In recent years, significant progress has been made in the creation of equipment that captures the so-called personal spatial data records. The size and its price compared to other equipment, make it ideal for works related to historical-artistic heritage. In this research, a comparison is made between two scanners used in geodetic measurements for the purpose of Building Information Modeling (BIM) in historic buildings. A stationary BLK360 personal scanner has been chosen, which is considered to be a scanner that is easy to use and very operational in transport. Despite its precision, this equipment has been used in numerous Scan-to-BIM studies. To know the reliability conditions of the equipment, the Riegl VZ400i scanner, a state-of-the-art stationary scanner, is taken as a reference. The objective is to know the precision of both teams to develop planimetric surveys of a historic building in BIM. The methodology used is based on comparing both point clouds, knowing the density and organization and the attributes that can help as parameters in the BIM methodology. Also, and as an auxiliary base, two topographic equipment, a total station and a state-of-the-art laser measurer were used, and the precision of both was analyzed. The results show that the differences between the PLS and TLS are not excessively large, reaching differences of 10 mm in small lengths and 16 mm in longer lengths and, therefore, admissible for a Scan to BIM procedure. 1. Introduction A large part of the official institutions and organizations that manage the Architectural Heritage echo the use of geomatic technologies in the drafting of projects. The final perspective is to obtain models with geometric precision that represent and the state of conservation of the cultural assets. The integration of sensors for 3D reconstruction and the visualization of scenes in the real world is an important issue for the applicability of museums, video games, and properly that which has to do with architectural and * Corresponding author. E-mail addresses: [email protected] (J. Moyano), [email protected] (´ A. Justo-Estebaranz), [email protected] (J.E. Nieto-Juli´ an), [email protected] (A.O. Barrera), [email protected] (M. Fern´ andez-Alconchel). Contents lists available at ScienceDirect Journal of Building Engineering journal homepage: www.elsevier.com/locate/jobe https://doi.org/10.1016/j.jobe.2022.105190 Received 25 May 2022; Received in revised form 15 August 2022; Accepted 24 August 2022
Journal of Building Engineering 62 (2022) 105190 2 archaeological rehabilitation [1] and even in the world of civil engineering and construction. Taking into account that architecture, engineering, and archeology are sciences that use spaces and 3D reconstruction in their usual context, the registration of spatial data components is taken as essential in investigations. In this context, the precision of the representation of complex spaces and objects is essential to obtain models of reality. With the arrival of new geomatics technology equipment such as the Personal Laser Scanning (PLS) mobile laser scanner, data capture in the measurements of architectural spaces is simplified. This technology is relatively new and has yet to be developed [2], the greatest advantages of these personal teams is the easy handling for being a small team and in the capture of data. On the other hand, the study of metrology as a science of exact dimensions highlights the importance of new technologies that are acquired in increasingly cheaper equipment. The price differential between scanners can mean up to 65% savings. Therefore, everything is at the level of the function of the needs of both the researcher and the academic or professional in the use of these instruments. Another interesting aspect is the Scan to BIM methodology, which makes it essential to use Light Detection and Ranging (LiDAR) techniques or Structure from Motion image acquisition techniques (photogrammetry or SfM) or new Structure from Motion/Multi-View-Stereo (SfM/MVS) for modeling both objects and architectural spaces in a BIM environment. LiDAR technologies have become one of the key elements in BIM by capturing geometric representation in terms of point clouds [3]. The use of PLS improves the operability of data collection and its transfer to BIM. It would be a matter of dispensing with millimeter precision in favor of speed in processing and the economy of the equipment. An important part is that the transfer to BIM of large-scale historical monuments and archaeological sites makes the operation of the point cloud inoperable on the platform itself, which is why it is sometimes necessary to segment or decimate the global point cloud of the registry. We are facing a new situation that puts the point of view in the BIM workflow for existing buildings and buildings of historical character. BIM has its roots in computer-aided design research and was considered an intelligent architecture simulation of architecture [4]. The truth is that this methodology that uses 3D digital components allows planning, designing and managing architectural projects in all stages of the useful life process. The term BIM applied to architectural heritage is of recent creation and includes complementary fields such as the analysis of complex geometries [5]. The connectivity between LiDAR and BIM known as “Scan to BIM” makes it possible to replicate complex geometry in parametric objects, that is, from the point cloud to the 3D model. The response to a search for precision ranges in the different LiDAR equipment makes this work unprecedented and interesting for the research and professional community, responding to a knowledge gap that unites two disciplines: geomatics with intelligent 3D representation systems. 2. Related word The technological development that LiDAR system technologies have acquired, such as SfM/MVS image capture, has the potential to be used at all levels in cultural heritage (HC). The use of terrestrial LiDAR scanners (light stop and range) scanners in architectural heritage works has been widely studied, for example, Moraza et al. [6]. He developed his work in the church of San Miguel in Vitoria-Gasteiz where resolution and reflectivity stand out as attributes provided by the point cloud acquired by this technology. Also noteworthy is the stone mapping work on the facade of the San Nicolas church in Pacinotto (Italy) developed by Lezzerini et al. [7]. Ma˜ nana-Borraz´ as et al. [8] establish the evaluation of the use of the laser scanner at two levels; in a large frame and in engravings whose dimension occupies a small space within the vault. In relation to its use in large architectural spaces such as a cathedral, Landes et al. [9] work at the St. Lawrence Chapel of the Strasbourg’s Cathedral. If we focus on the “Scan to BIM” methodology or workflow, Quattrini et al. [10] worked on the development of a high-quality 3D model for information registration. The model achieves precision through the use of TLS. Santagati et al. worked on semantic units in the cathedral in Nicosia (Cyprus) using TLS for modeling in HBIM-in a first work [11] and later in a second publication [12]. Therefore, in the context of the registration of historical monuments, there is a large portfolio of studies that use TLS for 3D recording and reconstruction purposes using new BIM technologies. With the rise of the BIM application, reality capture in construction has become more important in the scientific community [13]. When introducing the terms of restrictions in quality of time, cost and other parameters, the authors call the process (P4S Planning for Scanning the massive data acquisition technology. In terms of comparing the accuracy of the equipment that encompasses topographical techniques, there are few relevant works; therefore, MatousKov´ a et al. [2] performed accuracy tests between BLK360 and ZEB-REVO scanners, tested in the basement of the Faculty of Civil Engineering in Prague, also using two other SfM techniques. From what is interesting about the work, it is extracted that the variations between both scanners can be around 2 cm. Very similar is the work of PavelKa et al. [14] who worked with the aforementioned researcher, this time as the first author, comparing the equipment between BLKgo, BLK360 and ZEB-REVO, without establishing optimal conclusions. Dlesk et al. [15] work with the same PLS and Simultaneous Location and Mapping technology (SLAM) equipment, comparing the BLK360 scanner with the BLK2GO, at measurement distances of 5 to 10 m, which are reduced units of measurement for spaces in architectural heritage. The study concludes that the difference in small measurements of approximately 10 m is found in 2 cm, in the same way they affirm that they present a great similarity. Therefore, in the scientific literature, despite joint work with TLS and PLS of the BLK360 laser scanner with the RIEGL-VZ-400, Tao et al. [16] to map tropical forest trees, Becker et al. [17] to bring BIM to an architectural space, BlasKow et al. [18] to evaluate the geodetic precision of the BLK360 for data collection and management, there are no works that are similar to this investigation. Therefore, this unpublished work represents a contribution to scientific knowledge on metrology in architectural heritage. In this sense and to know the different levels of precision that we can find between the PLS and TLS, a study of a medium-sized church, 32 m long, has been taken, evaluating the different parts at two levels. A first level on a reduced scale and great artistic value. We refer to the altarpiece of San Juan Bautista, designed by Juan Martínez Monta˜ n´ es, with reliefs by the author himself and paintings and polychromy by Juan de Uceda, made in 1610–1620. The object belongs to the area of movable property and has dimensions of 4.33 m wide by 8.57 m high. The next level has taken the longitudinal axis of the church. Therefore, the study scale is larger, comprising lengths of 46.69 m long by 24.11 m high. Next, a study is established on the levels of precision that can attend to historic buildings in BIM and from here, study the results J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 3 obtained from the two surveys. This approach will solve such important issues as the precision of the PLS equipment, compared to the TLS and its applicability in HBIM. Another of the great challenges currently exists is the generation of BIM from a precise survey that integrates complex geometric shapes [19] both of historical nature and for reuse of existing buildings [20]. Most of the studies focus on the feasibility and sustainability of the use of historical BIM for restoration activities [21]. This allows users to reuse the model as a project file where information is recorded in the life cycle of the process [22]. The properties that the BIM environment has mean that the reconstruction of digital 3D models has semantic elements in such a way that the parameterization of objects such as walls, arches or pillars and all the elements that make up a church can have associated physical-mechanical characteristics. Combining this quality of BIM platforms with the exhaustive representation of physical reality means that this environment has become the great commitment of the design and management sector of the Architecture, Engineering, and Construction (AEC) industries. 3. Level of Accuracy from point cloud to BIM and the case study Terrestrial laser scanning technology allows the acquisition of three-dimensional data necessary to obtain complex geometries of cultural heritage. Its use ensures coverage of the surface of the object studied as long as the appropriate number of records are taken to obtain measurement data, capturing the coordinates of millions of points. Therefore, it is an ideal instrument for registers that can serve as auxiliary replicas and build in BIM the sites, spaces or objects of cultural heritage assets. One of the first studies to use the TLS combined with the total station for the creation of BIM models in existing buildings is found by Tarvo et al. [23], defining the essential details in the process of creating a BIM. The GSA BIM guide for 3D images [24] mentions tolerances for as-built deliverables, plans and point clouds. The COBIM guide suggests precision by BIM elements for existing buildings and referring to historical details with a precision of 5 mm, without establishing at what level of scale it is required. Bonduel et al. [25] set the guidelines for the Level of Accuracy (LOA) precision levels from level 10 to 50, taking into account the technical guidelines of each country. Tarvo et al. publishes the precision levels in BIM from USIBD [26] without re-echoing that Bonduel had already established them before publication. Maiezza [27] publishes in a case study of a window from St. Basilio monastery in L’Aquila three levels of LOA; low, average, high plotted in three colors. Therefore, it must be taken into account that the specific LOA ranges for heritage buildings can be between 0 and 5 cm from a lower range to a higher range. Another question is the tolerance levels for a BIM modeling that can be found in Barbosa et al. [28] and in Historic England [29] or the reliability levels (LOR) Attenni [30] as an indicator of reliability, difference between the numerical and the parametric model. To establish the basis of the scientific contribution, a case study of the Church of the Annunciation, one of the most outstanding temples of the Renaissance in Seville (Spain), is carried out. The surveys were taken on different days adjusting to the schedule of mass and guided tours of tourists. Built between 1565 and 1579 according to plans by Hern´ an Ruiz II, it was originally the temple of the Professed House of the Society of Jesus [31]. This construction is made of brick, although the stone is reserved for the portal of the feet and that of the Concepci´ on, dated 1568 and located in the transept, which connected the church with the cloister of the Professed House. The church, with a Latin cross floor plan, covers the nave with ribbed vaults separated by transverse arches (arches transverse to the axis of the main nave), with half-barrel vaults in the arms of the transept and in the main chapel, and a half-orange vault in the transept, all of them coffered. The better half and two arms of the transept have emblematic decoration dating from the mid-eighteenth century [32]. The choir is located at the feet, high up. The tower, to the left of the presbytery, consists of a body of bells with semicircular openings, without finial [33]. The main altarpiece is the work of the Jesuit brother Alonso de Matías (1603–1606). But this case study has an added singularity that is found in the nave on the side of the epistle, a medium-sized altarpiece made by one of the great image makers of the sculptural art of the Spanish Golden Age [34]: the altarpiece of San Juan Bautista, which we have mentioned before. 4. Characteristics of the equipment Currently, companies dedicated to supplying precision geodetic equipment have the mission of developing improvements in the resolution of terrestrial laser scanners and increasing the rate of measurement in distances and angles. Another objective is also to design more ergonomic and economical equipment, such as the BLK2GO, used in interior architecture [15] or on other occasions to detect movements of the earth in the presence of intense vegetation [35]. Among the PLS Personal Laser Scanners is the BLK360 weighing 1 kg, used as an evaluation comparison [36] in heritage for the maintenance of structures and ornamentation of historic buildings [37] in combination with photogrammetry [38]. Despite being a recently built scanner, it is frequently used in MDCSs records in the area of architectural heritage. The Leica BLK360 laser scanner uses Waveform Digitizing (WFD) technology, with a maximum scanning speed of 360,000 points/second. It has three HDR digital cameras with color sensor and fixed focal length (single image 2592 x 1944 pixels, 60◦×45◦(vx hz), full-dome scanning of 30 images and automatic space rectification, 150 Mpx, 360◦× 300◦), as well as an infrared thermal camera (single image 160 x 120 pixels, 71◦×56◦(vx hz), full-dome scan of 10 images, 360◦× 70◦), the four included in the kit. This instrument achieves a range precision according to the manufacturer of 4 mm at 10 m, and 7 mm at 20 m. In this case, this scanner can operate through Cyclone FIELD 360 software using a tablet for field work. New generation equipment based on full-waveform LiDAR technology records the amount of laser energy returned to the sensor over the time of each emitted pulse [39]. The full waveform LiDAR advantage aids in understanding and algorithm development in scenes. Among these teams, we have selected the RIEGL-VZ-400, used in many fields of knowledge, among which it is worth highlighting to develop deformation evaluation tasks in mining areas [40], in monitoring of hydraulic engineering structures [41]. The latest generation 3D laser scanner RIEGL VZ-400i has Internet connectivity with the latest LiDAR waveform processing technology. Real-time data flow is performed through two processing platforms: a dedicated processing system for the simultaneous acquisition of scan data and image data, waveform processing, and system operations, and a second processing platform. processing that allows automatic registration on board. Provides a built-in 3G/4G LTE modem, Wi-Fi, and Ethernet communications hardware. It has an J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 4 integrated orientation sensor (MEMS IMU, compass, and barometer), and has a pulse repetition frequency of up to 1200 kHz. Its main features include a high laser pulse repetition frequency of up to 1.2 MHz; high-speed data acquisition of up to 500,000 measurements per second; eye-safe operation in laser class 1; wide field of view, 100◦x360◦; range up to 800 m, accuracy 5 mm; high accuracy, high accuracy range based on echo digitizing, online waveform processing, and multiple response time processing; innovative processing architecture for simultaneous real-time data acquisition and georeferencing; automatic registration on board; simultaneous acquisition of image and scan data; user-developed applications via python software; and cloud connectivity via Wi-Fi and 3G/4G LTE.” Attached to the system is a Nikon D810 camera (Format: FX; Image sensor: CMOS; Frame size: 35.9 mm ×24 mm; Total pixels 37.09 million) and an AF Nikkor Fisheye lens (14 mm f/2.8) (see Fig. 1). 5. Data acquisition processing To obtain data processing once the records were made, several point cloud post-processing software was used. LEICA Cyclone REGISTER 360, Fig. 2, was used for the BLK360 scanner. It is a processing software with a cloud-to-cloud matching algorithm to register overlapping point clouds [42]automatically. This recently created software [43] is an intuitive tool for handling and generating reports from the different records, which ensures the quality of the data obtained. It also uses the Visual Inertial System (VIS) RTC360 to automatically place the data in coordinate values [44]. All final log data are published to a Leica Geosystems Universal (LGS) project file for software compatibility. Table 1 shows the result of each exploration set, after post-processing with the link quality matrix. Confidence or strength level is greater than 70% between sets. The SisCAN PRO software [45] is in charge of organizing, saving, and treating all the data obtained by the RIEGL VZ400i scanner in a digitization session. Project oriented in such a way that the data acquired during the measurement campaign is organized and stored in a project structure. Among these data are the scanning surveys, captured details, photographs taken by the Nikon D810 camera, GNSS data, and the coordinates marked by the control points and refractors. The operation of the algorithm is based on transformation matrices to obtain multiple data from several scans in the same defined coordinate system. With all this, the system is capable of generating the 3D model, editing it, viewing it, and exporting it to various formats, for example:.las;.obj;.pts . stl. Fig. 3 shows the processing result in the SisCAN PRO software. 6. Record checkpoints To record the coordinates of the Ground Control Points (GCPs), two topographical instruments were used. Points of two categories have been taken, some physical points through circular targets and other recognizable geometric points. On the one hand, the Leica Flexline TS02 with precision (precision of 2 mm [46] in order to register the coordinates of the GCP of the area delimited in the study with a short strip (altarpiece) and the long strip area (length of the nave of the epistle). The structure of the points is represented in Fig. 4, where the section of the interior space of the church is shown, in a subset of horizontally segmented points and on it the distribution of points. Precision that Leica DISTO S910 could have as an auxiliary work team, the dispersion of the measurements in the axes (x,y,z) was evaluated. The precision according to the manufacturer is ±1.00 mm in 300 m. Equipment has been used in civil engineering works [47,48] and in heritage [49]. These laser measurement devices are relatively cheap, easy to transport, and are currently used in certain investigations [50,51] so their evaluation could be a gap in knowledge in the field of geomatics. As we can see, the distribution of points is done homogeneously and longitudinally through the central nave, with measurements on Fig. 1. Photograph of the church of the annunciation. J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 5 Fig. 2. Location image in Cyclone REGISTER 360 software. Table 1 Result of the report with expression of the set error. TLS Placements Level 1 instrument height Number: 18 placements Number of connections: 85 Strength: 70% Overlapping: 60% Set error: 0.007 m Cloud to cloud error: 0.007 m Fig. 3. Interior scanning of the church by the RIEGL VZ400i scanner. J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 6 the epistle side and on the gospel side. The points in green are those distributed by the total station, and the points marked in red show the selection of the set of points registered by the laser measurer that saves them in a.dxf file. In addition to generating a photograph of the point with the telescopic sight for orientation purposes, this instrument can generate the 3D point coordinates in.xml format managed through direct software in connection with the computer. The experiment for the evaluation of the two teams mentioned had a single registration process to obtain the sets of points throughout the church. The black line in Fig. 4 shows the plan length of the position taken by the equipment. The difference values are measured from the interior of the central nave of the church from 6 m to the value of 25 m. Once the two records were made, they were taken to CAD software to see the differences between the coordinate points in 3D. For the evaluation, the data shown in Fig. 5 are transferred and are obtained from the different measurements between points and their correlation with the distance of the equipment used. Table 2 shows the different deviations between the points in their reference (x,y,z) representing the average distance and the standard deviation expressed in metric units. 7. Methodology. Equipment evaluation 7.1. Introduction For the evaluation of the two scanners, the methodology has been structured in several parts of the analysis. On the one hand, the Fig. 4. GCP point structure in the church plan. Fig. 5. Graph of the coordinate differences recorded between the Leica Flexline TS02 and Leica DISTO S910 equipment. J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 7 point cloud-to-point cloud is analyzed using comparison algorithms. The global point cloud (TLS i ) reproduces representation records of the total geometry of the Church of the Annunciation. The insertion of the TLS i BLK360 and TLS i RIEGL VZ400i into the CloudCompare (C2C) v2.91 software for Microsoft Windows [52] makes the comparison work unfeasible, as the point cloud exceeds one million KBytes. The CloudCompare software is open source and has been used by many researches in evaluation studies, including Scan-to-BIM [22,25,53] or structural behavior analysis [37,54]. 7.2. Comparison between points According to Aryan et al. [13] the point cloud data quality criterion is that all scan targets are captured in the final point cloud. For operational reasons, it was decided to work at the two levels mentioned above, on a smaller scale, segmenting the altarpiece into a longitudinal section of the church nave. The segmentation work is carried out through a set of points that are representative of the sample. In the usual procedures, there is a first approximation of the sets of points manually for their alignment, and then the closest point algorithm is used, which recalculates the transformation parameters for the distance of the homologous points. Before starting the comparison, the outliers are filtered and then the roto-transformation between the subset of TLS iB points and the subset of TLS iB points. The result of the filtering is sometimes not as effective as shown if the subsets of points are filtered before the back-transformation. There are probably outliers that are not visible at first glance and that can affect the results. As an example, we can see in Table 3 the results of performing several cloud couplings in the different phases of experimentation. Until reaching the end Fig. 6. Point cloud deviation between BLK360 and RIEGL VZ400i in Survey 5. a) Image of the deviations between point clouds. Data from the comparison C2C absolute distance between point clouds. Unit: meters (X-asis). Visualization mode. Heat maps of distance distributions. b) Histogram plot. Deviations between point clouds. Units: meters (X-axis) and number of points (Y-axis). Table 2 Deviation between the aligned Station Total with Leica_910 datasets in metres. Points Average Distance (m) Standard Deviation ( σ ) (m) d (x) 0.0234 0.0245 d (y) 0.0476 0.0573 d (z) 0.0246 0.0320 Table 3 Deviation between the point cloud of the BLK360 and RIEGL VZ400i equipment in the different phases of segmentation and elimination of outliers. Experimental Surveys Standart deviation ( σ ) (m) RMS (m) Min. Distance (m) Max. Distance (m) Average distance (m) Estimated standard error (m) Survey 1 0.1520 0.0336 0 3.2457 0.0910 0.0363 Survey 2 0.2096 0.0386 0 1.4516 0.0564 0.0363 Survey 3 0.0327 0.0209 0 0.4226 0.0086 0.0362 Survey 4 0.0256 0.0452 0 0.3903 0.0061 0.0362 Survey 5 0.0199 0.0441 0 0.2214 0.0061 0.0350 J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 8 where it yields some results according to the figure Histogram and image of the comparison. TLS iB has a weight of 2.548.514 points compared to TLS iv , which has a weight of 893.022 points. In this process, it was detected that the BLK360 point cloud presents a greater number of atypical points, concentrated on the edges and limits of the sculptures and the gaps between the works of art and the niche that surrounds them. Among the objectives of the research is to establish the difference that may exist in lengths greater than those analyzed in the altarpiece. For this case, the longitudinal section of the church is analyzed from a range of 5 to 45 m, representing the environment of the central nave on its epistle side. This comparison can determine the difference between the two instruments used: the BLK360 scanner and the Riegl VZ400i scanner. Once the two global point clouds have been obtained; TLS iB through 18 scenes with a thickness of 209 million points and TLS iR with two scenes with a thickness of 142 million points, the precision between the scanners is quantitatively compared. For the process to be operational, it was segmented by reducing the file to facilitate the operation of alignment between the point clouds. Six pairs of points (R0-A0, R1-A1, R2-A2, R3-A3, R4-A4, R5-A5 and R6-A6) distributed throughout the length, the average RMS errors of the alignment in rough is 0.52727 m RMS and in a second fine alignment the average RMS error is 0.01930 m. According to Jafari [55] a rigid transformation occurs between p i Ꞓ P and q i Ꞓ Q where p i Ꞓ P a point from 3D reference point cloud and q i Ꞓ Q a point from target point cloud. By using Nearest Neighbors search and euclidean distance calculation, the algorithm estimates the closest point between p i and q i as correspondence points. To calculate the rotation R and the translation t between the two indicated points according to Equation (1). E(R,t) = min R,t∑ i pi−(Rqi +t) 2(1) The cloud-to-cloud comparison is then performed using the Iterative Closest Point (ICP) algorithm in CloudCompare, based on finding pairs of adjacent points in the two data sets, and then calculating the transformation parameters between the two subsets [56, 57]. Let us not forget that these comparison algorithms have been used especially to detect levels of changes in landslides that affect buildings [58], in inspection of bridge and tunnel structures [55], in historic buildings [37]. In geomorphic changes that affect sea cliffs [59], in flood risk management [60], in earthquake-induced landslides [61], that is, in aspects of significant changes that can be recorded through a cloud of points. In the processing of the point cloud set, it is common for noise and outliers to appear that can alter the final results. For this reason, several series of experiments were carried out, eliminating the atypical points, specifically at four evaluation levels, obtaining the data from the graph in Fig. 7, until reaching level four, where the results are obtained in Table 4 are obtained. As far as we know, this type of analysis has not been evaluated in any research. 7.3. Point cloud resolution The density of points could determine the geometric quality of a 3D mesh when it is consistent and accurate with the geometry of complex objects in architecture [49]. From what we know to now, there are some works related to civil engineering, where Pirotti and Taroli [62] analyzed the suitability of the density of points for the curvature of the relief in the extraction of channels, or Gargoum and El-Basyounny [63] for the extraction of traffic signs: more generally, Zahra and Ayman [64] to analyze the physical surfaces of large-scale buildings. The works of Pe˜ na-Villasenín et al. [65] were intended to know the density of dots per square meter in photogrammetry experiments. Therefore, the density of points is an important parameter for knowing the surface area that has been recorded. To know the proximity of the points, the best way to verify the spatial resolution is to see the 3D Euclidean distance according to equation (2). dE(P1,P2,P3)= (x2−x1)2+ (y2−y1)2+ (z2−z1)2 √(2) Fig. 7. Results of the four consecutive evaluations of segmentation in the central nave. J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 9 where dE is the Euclidean distance between points in space, and x, y and z are the Cartesian coordinates of those points. The sample for submitting the essays was made in the strip of the altarpiece of the sculptor Martínez Monta˜ n´ es located in the nave of the epistle of the church. To see the behavior of the point density distribution, two surfaces have been compared. One sample is the curved surface of the cornice of the third body, and another has been taken from the flat surface of the frame of a painting on the left side of the altarpiece. The first set of points has a sample with an area of 5 ×5 cm2 according to Fig. 10. For the segmentation of the subsample, CloudCompare software has been used from the alignment of the point sets of the BLK360 and RIEGL VZ400i. Two samples are obtained, one of them from the Riegl VZ400i scanner with 61 points, which is equivalent to 1 point for every 41 mm2. In the case of the BLK360 scanner, 146 points have been obtained, which is equivalent to 1 point for every 17 Fig. 8. Analysis of the difference between the point cloud between BLK360 and RIEGL VZ400i in evaluation 3. Result of applying the C2C algorithm. Color map of the distribution of distances. On the color scale, red represents the maximum distance expressed in meters. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.) Fig. 9. Histogram of Fig. 8. Histogram units: meters (X axis) and number of points (Y axis). Table 4 Deviation between TLS iB and TLS iR segmented point cloud. Experimental Surveys Standart deviation ( σ ) (m) Min. Distance (m) Max. Distance (m) Average distance (m) Estimated standard error (m) Evaluation 4 0.0973 0 1.0988 0.0161 0.1831 J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 16 With regard to obtaining an evaluation of the global deviation of the two sets of points TLS iB and TLS iR , the cloud-to-cloud comparison is made using the Iterative Closest Point (ICP) algorithm in CloudCompare, based on the search for pairs of adjacent points. on the two data sets and then compute the transformation parameters between the subsets. To proceed with this comparison and in the same CloudCompare software, both point clouds were decimated to fifty percent by random procedure, eliminating additional points that would otherwise slow down the software’s processing capabilities. Decimating the point cloud is an operational way of working, and it is used in other investigations and with other software, such as Cyclone [74] or CloudCompare [75]. Next, it proceeds in two steps. Firstly, residual point treatment is not performed, such as the removal of internal noise of objects that have been modified or passing people is not performed. The results of the global deviation of this first phase show an average deviation of 0.2701 m and a standard deviation of ±0.5058 m. Secondly, and once the possible maximum deviations have been detected (visible more perceptibly when both clouds are merged), the points that alter the results and that include nonsignificant points are eliminated. The results in this second phase provide a global deviation of 0.0266 m and a standard deviation of ±0.1253 m, obtaining results that are closer to the value obtained in the analysis of the central nave. 9. Conclusions This research establishes the precision that easy-to-use and cheaper devices related to reverse engineering can acquire, such as PLS, compared to conventional stationary ones. These instruments help engineering and scanning works in architectural heritage, as they scramble the modeling of complex 3D geometry with great ease. The study is developed on two levels, selecting two spaces within the interior of the Church of the Annunciation in Seville. A space between 5 and 9 m, determined by reduced dimensions such as an altarpiece and another, at a global level that includes the length of the church nave of 45 m. The results of the analysis of the latter show that the difference between the two scanners, the PLS and TLS, are not large, reaching differences of millimeters and, therefore, we understand that they are admissible for a Scan to BIM procedure. If the specific LOA levels of precision for heritage buildings can be between 0 and 5 cm from a lower range to a higher range, the fact that the difference between both instruments is 16 mm indicates that their use is perfectly admissible. The USIBD Leve lof Accuracy Specification Guide dictates the levels of precision and here the LOA20 defines it in a range between 0.0500 and 0.0015 m. In relation to the distribution of the point cloud according to the section of both point clouds, the one obtained by the RIEGL VZ400i scanner is more uniform and coplanar than that of the BLK360, this may also be due to the large number of parking lots that took place at the PLS. It is evident that there must always be quality variations in this sense between both devices precisely because of the recording procedures used, the quality of the processing software algorithm and the scope that are not evaluated in this work and could be investigated in future works. In different situations, due to the complexity of the historical buildings environment, it is necessary to segment the point cloud into smaller portions where more conclusive data can be extracted, therefore, the density of points is not a determining factor when using it. as an auxiliary element to lift in BIM. A homogeneous distribution of points is necessary for complex figures to be fully defined. For example, in the case study, cornices or bases that have specific characteristics and shapes. On the other hand, the evaluation in the use of two point clouds processed in different software complicates its execution. Although we perform georeferencing through control points, in the chosen comparison software there are alignments that are difficult to establish, but the approach algorithms used allow us to improve this task in the research process. In the use of control points, there are also low-cost topographical instruments, and in this research work the use of a total station, the Leica Flexline TS02, has been compared with the Leica DISTO S910 as an auxiliary work team. The results and the analysis that have been obtained mean that the low-cost measurement instruments are used for short measurements in architectural heritage, although, as we have seen, there are uses for civil engineering. The differences of 2 cm of these devices compared to those of the most qualified devices can have limitations in the field of engineering. Essentially, the variations that we have detected in the use are due to the precision of the sight that the control points can vary. Regarding the minimum requirements between the two teams. It should be said that the Leica equipment has a different handling since it does not have a touch screen for the configuration of the scanning program like the RIEGL VZ400i. This must be done from the Leica Cyclone Field 360 application that is incorporated into the Tablet. It only requires the condition of locked orientation in the different positions of the scanner, which is done through a marking on the tripod leg. The processing time is faster than the RIEGL VZ400i due to its agility. A great advantage is the availability of thermal images. In addition to the aforementioned limitations, it must be said that the subsets of points obtained from the different teams allow for the analysis of the data carried out. The results must be interpreted according to the number of parking lots, the quality of the equipment, and the environmental conditions at the time of each registration. Ground measuring equipment occupies an essential space to record accurate measurements. For this reason, the RIEGL VZ400i scanner can achieve long-length measurements, while the BLK360 scanner is more limited in this regard. In shorter spaces, both scanners have similar characteristics to analyze flat shapes, but, on the other hand, in curved or complex shapes, the RIEGL VZ400i scanner behaves more solidly. Author statement Juan Jos´ e Moyano Campos: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Supervision, Visualization, Writing - original draft, Writing - review and editing, ´ Angel Justo Estebaranz: Data curation, Resources, Visualization, Writing - original draft, Writing, Project administration, Juan Enrique Nieto Juli´ an: Data curation, Software, Supervision, Validation, Alfonso Ojeda Barrera: Data curation, Software, Resources, María Fern´ andez-Alconchel: Visualization, Writing - original draft, Writing. J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 17 Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. Data availability No data was used for the research described in the article. Acknowledgements This research was funded by the Universidad de Sevilla through the VII Plan Propio de Investigaci´ on y Transferencia (VII PPIT-US). Thanks to the Administration of Universidad de Sevilla for providing access to the building. Thanks to the Administration of the SGI Fototeca-Laboratorio de Arte of the Universidad de Sevilla. References [1] D. Gonz´ alez-Aguilera, P. Rodríguez-Gonz´ alvez, J. G´ omez-Lahoz, An automatic procedure for co-registration of terrestrial laser scanners and digital cameras, ISPRS J. Photogrammetry Remote Sens. 64 (2009) 308–316, https://doi.org/10.1016/J.ISPRSJPRS.2008.10.002. [2] E. Matouˇ skov´ a, K. Pavelka, T. Smolík, K. Pavelka, Earthen Jewish architecture of Southern Morocco: documentation of unfired brick Synagogues and Mellahs in the Drˆ aa-Tafilalet region, Appl. Sci. 11 (2021) 1712, https://doi.org/10.3390/APP11041712, 2021, 11, 1712. [3] R. Rashdi, J. Martínez-S´ anchez, P. Arias, Z. Qiu, Scanning technologies to building information modelling: a review, Infrastructure 7 (2022) 49, https://doi.org/ 10.3390/INFRASTRUCTURES7040049. Page 49 2022, 7. [4] C. Eastman, C. Eastman, P. Teicholz, R. Sacks, BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, 2011. [5] J. Moyano, C.P. Odriozola, J.E. Nieto-Juli´ an, J.M. Vargas, J.A. Barrera, J. Le´ on, Bringing BIM to archaeological heritage: interdisciplinary method/strategy and accuracy applied to a megalithic monument of the Copper Age, J. Cult. Herit. (2020), https://doi.org/10.1016/j.culher.2020.03.010. [6] I.G.-G. Moraza, M.F. de G, A.M. L, L´ aser esc´ aner y nubes de puntos. Un horizonte aplicado al an´ alisis arqueol´ ogico de edificios | García-G´ omez | Arqueología de la Arquitectura, Arqueología de la Arquitectura (2011) 25–44, https://doi.org/10.3989/arqarqt.2011.10019. [7] M. Lezzerini, F. Antonelli, S. Columbu, R. Gadducci, A. Marradi, D. Miriello, L. Parodi, L. Secchiari, A. Lazzeri, Cultural heritage documentation and conservation: three-dimensional (3D) laser scanning and Geographical information system (GIS) techniques for Thematic mapping of facade Stonework of St. Nicholas church (Pisa, Italy), Int. J. Architect. Herit. 10 (2016) 9–19, https://doi.org/10.1080/15583058.2014.924605. [8] P. Ma˜ nana-Borraz´ as, A. Rodríguez-Paz, R. Blanco-Rotea, An experience in the application of the 3D laser scanner to the documentation and analysis processes of built heritage: its application to Santa Eulalia de B´ oveda (Lugo) and san Fiz de Solovio (Santiago de Compostela), Arqueología de la Arquitectura (2008) 15–32, https://doi.org/10.3989/arqarqt.2008.i5. [9] T. Landes, G. Kuhnle, R. Bruna, 3D modeling of the strasbourg’s cathedral basements for interdisciplinary research and virtual visits, in: Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives; International Society for Photogrammetry and Remote Sensing, vol. 40, 2015, pp. 263–270. [10] R. Quattrini, E.S. Malinverni, P. Clini, R. Nespeca, E. Orlietti, From TLS to HBIM. high quality semantically-aware 3d modeling of complex architecture, Int. Arch. Photogram. Rem. Sens. Spatial Inf. Sci. XL-5/W4 (2015) 367–374, https://doi.org/10.5194/isprsarchives-XL-5-W4-367-2015. [11] C. Santagati, C.R. Laurini, G. Sanfilippo, N. Bakirtzis, D. Papacharalambous, S. Hermon, HBIM for the surveying, analysis and restoration of the saint john the theologian cathedral in Nicosia (Cyprus), ISPRS Ann. Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2019) 1039–1046, https://doi. org/10.5194/isprs-Archives-XLII-2-W11-1039-2019. [12] C. Santagati, D. Papacharalambous, G. Sanfilippo, N. Bakirtzis, C. Laurini, S. Hermon, HBIM approach for the knowledge and documentation of the St. John the Theologian cathedral in Nicosia (Cyprus), J. Archaeol. Sci.: Reports 36 (2021), 102804, https://doi.org/10.1016/J.JASREP.2021.102804. [13] A. Aryan, F. Bosch´ e, P. Tang, Planning for terrestrial laser scanning in construction: a review, Autom. ConStruct. 125 (2021), 103551, https://doi.org/10.1016/ J.AUTCON.2021.103551. [14] K. Pavelka, D. Zahradník, J. Sedina, K. Pavelka, New measurement methods for structure deformation and objects exact dimension Determination, IOP Conf. Ser. Earth Environ. Sci. (2021) 906, https://doi.org/10.1088/1755-1315/906/1/012060. [15] A. Dlesk, K. Vach, J. ˇ Sedina, K. Pavelka, Comparison of leica BLK360 and leica BLK2go on chosen test objects, Int. Arch. Photogram. Rem. Sens. Spatial Inf. Sci. XLVI-5/W1– (2022), https://doi.org/10.5194/ISPRS-ARCHIVES-XLVI-5-W1-2022-77-2022, 77–82. [16] S. Tao, N. Labri` ere, K. Calders, F.J. Fischer, E.P. Rau, L. Plaisance, J. Chave, Mapping tropical forest trees across large areas with lightweight cost-effective terrestrial laser scanning, Ann. For. Sci. 78 (2021) 1–13, https://doi.org/10.1007/S13595-021-01113-9/FIGURES/8. [17] R. Becker, E. Lublasser, J. Martens, R. Wollenberg, H. Zhang, S. Brell-Cokcan, J. Blankenbach, Enabling BIM for property management of existing buildings based on automated As-IS capturing, in: Proceedings of the 36th International Symposium on Automation and Robotics in Construction, ISARC 2019, 2019, pp. 201–208, https://doi.org/10.22260/ISARC2019/0028. [18] M. Lindstaedt, T.P. Kersten, R. Blaskow, D. Schneider, T. Kersten, Untersuchungen zum Genauigkeitspotential des terrestrischen Laserscanners Leica BLK360, in: Proceedings of the Photogrammetrie, Laserscanning, Optische 3D-Messtechnik - Beitr¨ age der Oldenburger 3D-Tage 2018, Th. Luhmann/Ch. Schumacher (Hrsg.), Wichmann, VDE Verlag GmbH, Berlin und Offenbach, 2018, pp. 284–295. [19] L. Barazzetti, F. Banfi, R. Brumana, G. Gusmeroli, M. Previtali, G. Schiantarelli, Cloud-to-BIM-to-FEM: structural simulation with accurate historic BIM from laser scans, Simulat. Model. Pract. Theor. 57 (2015) 71–87, https://doi.org/10.1016/j.simpat.2015.06.004. [20] H. Son, F. Bosch´ e, C. Kim, As-built data acquisition and its use in production monitoring and automated layout of civil infrastructure: a survey, Adv. Eng. Inf. 29 (2015) 172–183, https://doi.org/10.1016/J.AEI.2015.01.009. [21] R. Brumana, D. Oreni, L. Barazzetti, B. Cuca, M. Previtali, F. Banfi, Survey and scan to BIM model for the knowledge of built heritage and the management of conservation activities, Res. Dev. (2020) 391–400, https://doi.org/10.1007/978-3-030-33570-0_35/FIGURES/4. [22] M. Bassier, G. Hadjidemetriou, M. Vergauwen, Implementation of scan-to-BIM and FEM for the documentation and analysis of heritage Timber roof structures, Digit. Herit. Prog. Cult. Herit. : Doc. Preserv. Prot. 1 (2016) 79–90, https://doi.org/10.1007/978-3-319-48496-9. [23] T. Mill, A. Alt, R. Liias, Combined 3D building surveying techniques – terrestrial laser scanning (TLS) and total station surveying for BIM data management purposes, J. Civ. Eng. Manag. 19 (2013) S23–S32, https://doi.org/10.3846/13923730.2013.795187. [24] Administration, U.S.G.S. Guía BIM 03 - Im´ agenes 3D, GSA Available online: https://www.gsa.gov/real-estate/design-construction/3d4d-building-information- modeling/bim-guides/bim-guide-03-3d-imaging. (Accessed 23 February 2022). [25] M. Bonduel, M. Bassier, M. Vergauwen, P. Pauwels, R. Klein, Scan-to-bim output validation: towards a standardized geometric quality assessment of building information models based on point clouds, Int. Archives Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 42 (2017) 45–52, https://doi.org/10.5194/isprs-archives-XLII-2-W8-45-2017. [26] L. Magazine, USIBD’s Version 3 of the level of accuracy (LOA) specification Version 3.0 publishes Today - LIDAR Magazine, Available online: https://lidarmag. com/2019/08/20/usibds-version-3-of-the-level-of-accuracy-loa-specification-version-3-0-publishes-today/. (Accessed 25 January 2022). J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 18 [27] P. Maiezza, AS-Built reliability in architectural HBIM modeling, Int. Arch. Photogram. Rem. Sens. Spatial Inf. Sci. XLII-2/W9 (2019) 461–466, https://doi.org/ 10.5194/isprs-archives-XLII-2-W9-461-2019. [28] M.J. Barbosa, P. Pauwels, V. Ferreira, L. Mateus, Towards increased BIM usage for existing building interventions, Struct. Surv. 34 (2016) 168–190, https://doi. org/10.1108/SS-01-2015-0002/FULL/PDF. [29] Historic England, in: S. Antonopoulou, P. Bryan (Eds.), BIM for Heritage: Developing a Historic Building Information Model, Historic England, Swindow, UK, 2017. https://historicengland.org.uk/advice/technical-advice/recording-heritage/. [30] M. Attenni, Informative models for architectural heritage, Heritage 2 (2019) 2067–2089, https://doi.org/10.3390/heritage2030125. [31] Morales Martínez, A.J. Hern´ an, Ruiz “El Joven” (Hernan Ruiz ’The Younger’), Akal, Madrid, 1996. [32] R. García Mahíques, Los jeroglíficos de la iglesia de la Anunciaci´ on de Sevilla (I), Revista de Patrimonio Iberoamericano (2017) 42–55, enero-juni. [33] Morales Martínez, J. Alfredo, María Jesús Sanz, Juan Miguel Serrera, E. Valdivieso, Guia artistica de Sevilla y su provincia, Excma. Diputaci´ on Provincial de Sevilla, Sevilla, 1981. [34] J. Lafita Díaz, Conferencia sobre el retablo de San Juan el Bautista de la iglesia conventual de Nuestra Se˜ nora del Socorro, Boletín de Bellas Artes, 1939, pp. 139–150, 0210-6531, N o . 4, 1939 (Ejemplar dedicado a: Homenaje a Martínez Monta˜ n´ es (1568-1649)), p´ ags. 139-150. [35] M. Limongiello, D. Ronchi, V. Albano, BLK2GO for DTM generation in highly vegetated area for detecting and documenting archaeological earthwork anomalies, in: Proceedings of the IMEKO TC-4 International Conference on METROLOGY for ARCHAEOLOGY and CULTURAL HERITAGE, 2020. [36] T. Ogawa, Y. Hori, COMPARISON with ACCURACY of TERRESTRIAL LASER SCANNER by USING POINT CLOUD ALIGNED with SHAPE MATCHING and BEST FITTING METHODS, ISPRS Ann. Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2019) 535–541, https://doi.org/10.5194/ISPRSARCHIVES-XLII-2-W9-535-2019. [37] Moyano, J.; Gil-Ariz´ on, I.; Nieto-Juli´ an, J.E.; Marín-García, D. Analysis and management of structural deformations through parametric models and HBIM workflow in architectural heritage. J. Build. Eng. 2021, 103274, doi:10.1016/J.JOBE.2021.103274. [38] T. Luhmann, M. Chizhova, D. Gorkovchuk, H. Hastedt, N. Chachava, N. Lekveishvili, Combination of terrestrial laserscanning, uav and close-range photogrammetry for 3D reconstruction of complex churches in Georgia, ISPRS Ann. Photogrammetry, Remote Sensing and Spatial Information Sciences 42 (2019) 753–761, https://doi.org/10.5194/ISPRS-ARCHIVES-XLII-2-W11-753-2019. [39] A.M. Kim, R.C. Olsen, M. B´ eland, Simulated full-waveform lidar compared to Riegl VZ-400 terrestrial laser scans, Laser Radar Technology and Applications XXI (2016) 9832, https://doi.org/10.1117/12.2223929, 98320T. [40] D. Szwarkowski, M. Moskal, Assessment of deformations in mining areas using the Riegl VZ-400 terrestrial laser scanner, in: Proceedings of the E3S Web of Conferences; EDP Sciences, vol. 36, 2018, 02009. [41] A. Glowacka, T. Noszczyk, M. Zygmunt, P. Gawronek, B. Mitka, M. Pluta, Comparison of Effectiveness of Measuring Concrete Water Dam with Terrestrial Laser Scanners: RIEGL VZ-400, ZplusF IMAGER 5010, Infrastruktura i Ekologia Teren´ ow Wiejskich, 2014, pp. IV–3, https://doi.org/10.14597/ INFRAECO.2014.4.3.102. [42] K. Kregar, M. Vrabec, Developing a robust workflow for acquisition of high-resolution full-3D cave topography, surface topography integration, and digital structural mapping, 2019, in: Proceedings of the 21st EGU General Assembly, EGU2019, Proceedings from the Conference Held 7-12 April, 2019, 10591. Vienna, Austria. [43] L. Geosystems, Leica Cyclone REGISTER 360-3D laser scanning point cloud registration software, Available online: https://leica-geosystems.com/products/ laser-scanners/software/leica-cyclone/leica-cyclone-register-360. (Accessed 24 January 2021). [44] B. Adebiyet, F.A. Iliuf, E. Orynbassarova, A. Chernov, K. Idrissov, 3D Modeling of Satbayev University based on laser scanning and UAV data, Int. Arch. Photogram. Rem. Sens. Spatial Inf. Sci. XLVI-5/W1– (2022), https://doi.org/10.5194/ISPRS-ARCHIVES-XLVI-5-W1-2022-1-2022, 1–6. [45] Riegl laser measurement systems RiSCAN PRO, Available online: http://www.riegl.com/products/software-packages/riscan-pro/. (Accessed 7 March 2022). [46] Geosystems Leica Geosystems, Leica FlexLine TS02/TS06/TS09 user manual, Available online: https://leica-geosystems.com/, 2008. (Accessed 16 March 2020). [47] P. Bohorquez, J.D. del Moral-Erencia, 100 Years of competition between reduction in channel capacity and Streamflow during floods in the Guadalquivir river (Southern Spain), Rem. Sens. 9 (2017) 727, https://doi.org/10.3390/rs9070727. [48] P. Bohorquez, J.D. Del Moral-Erencia, Parametric study of trends in flood stages over time in the regulated Guadalquivir River (years 1910-2016), Proc. European Water 59 (2017) 145–151. [49] J. Moyano, J.E. Nieto-Juli´ an, D. Bienvenido-Huertas, D. Marín-García, Validation of close-range photogrammetry for architectural and archaeological heritage: analysis of point density and 3d mesh geometry, Rem. Sens. 12 (2020) 3571, https://doi.org/10.3390/rs12213571. [50] E. Ribeiro, B.B. Cardoso, M.A.I. Martins, A.L. Pereira, K.D. Tomaz, S. De Francisci, Integration of GNSS and laser measuring device with smartphone cartographic app in electricity distribution network, in: International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2021, 2021, https://doi.org/10.1109/ICECCME52200.2021.9590954. [51] T. Jin, Q. Liao, Application of large scale PIV in river surface turbulence measurements and water depth estimation, Flow Meas. Instrum. 67 (2019) 142–152, https://doi.org/10.1016/J.FLOWMEASINST.2019.03.001. [52] D. Girardeau-Montaut, CloudCompare point cloud processing workshop, Available online: www.cloudcompare.org@CloudCompareGPL. (Accessed 28 January 2021). [53] J. Moyano, J. Le´ on, J.E. Nieto-Juli´ an, S. Bruno, Semantic interpretation of architectural and archaeological geometries: point cloud segmentation for HBIM parameterisation, Autom. ConStruct. 130 (2021), 103856, https://doi.org/10.1016/J.AUTCON.2021.103856. [54] F. Zvietcovich, B. Castaneda, R. Perucchio, 3D solid model updating of complex ancient monumental structures based on local geometrical meshes, Digital Applications in Archaeology and Cultural Heritage 2 (2015) 12–27, https://doi.org/10.1016/J.DAACH.2015.02.001. [55] B.M. Jafari, Deflection Measurement through 3D Point Cloud Analysis, George Mason University, 2016. [56] D. Moon, S. Chung, S. Kwon, J. Seo, J. Shin, Comparison and utilization of point cloud generated from photogrammetry and laser scanning: 3D world model for smart heavy equipment planning, Autom. ConStruct. 98 (2019) 322–331, https://doi.org/10.1016/J.AUTCON.2018.07.020. [57] Y.D. Rajendra, S.C. Mehrotra, K.V. Kale, R.R. Manza, R.K. Dhumal, A.D. Nagne, D. Vibhute, S. Ramanujan, G. Chair, Evaluation of Partially overlapping 3D point cloud’s registration by using ICP variant and CloudCompare, Isprs - Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. (2014), https://doi.org/10.5194/ isprsarchives-XL-8-891-2014. XL–8. [58] Ahmad N. Fuad, A.R. Yusoff, Z. I, Z. M, Comparing the performance of point cloud registration methods for landslide monitoring using mobile laser scanning data, Int. Arch. Photogram. Rem. Sens. Spatial Inf. Sci. (2018), https://doi.org/10.5194/isprs-archives-XLII-4-W9-11-2018. XLII-4/W9. [59] G. Esposito, R. Salvini, F. Matano, M. Sacchi, M. Danzi, R. Somma, C. Troise, Multitemporal monitoring of a coastal landslide through SfM-derived point cloud comparison, Photogramm. Rec. 32 (2017) 459–479, https://doi.org/10.1111/PHOR.12218. [60] G. Jakovljevic, M. Govedarica, F. Alvarez-Taboada, V. Pajic, Accuracy assessment of Deep Learning based classification of LiDAR and UAV points clouds for DTM creation and flood risk mapping, Geosciences 9 (2019) 323, https://doi.org/10.3390/GEOSCIENCES9070323, 2019, 9, 323. [61] S. Valkaniotis, G. Papathanassiou, A. Ganas, Mapping an earthquake-induced landslide based on UAV imagery; case study of the 2015 Okeanos landslide, Lefkada, Greece, Eng. Geol. 245 (2018) 141–152, https://doi.org/10.1016/J.ENGGEO.2018.08.010. [62] F. Pirotti, P. Tarolli, Suitability of LiDAR point density and derived landform curvature maps for channel network extraction, Hydrol. Process. 24 (2010) 1187–1197, https://doi.org/10.1002/HYP.7582. [63] Gargoum, S.; El-Basyouny, K. Effects of LiDAR Point Density on Extraction of Traffic Signs: A Sensitivity Study: https://doi.org/10.1177/0361198118822295 2019, vol. 2673, 41–51, doi:10.1177/0361198118822295. [64] Z. Lari, A. Habib, New approaches for estimating the local point density and its impact on lidar data segmentation, Photogramm. Eng. Rem. Sens. 79 (2013) 195–207, https://doi.org/10.14358/PERS.79.2.195. [65] S. Pe˜ na-Villasenín, M. Gil-Docampo, Ortiz-Sanz, J. 3-D modeling of historic Façades using SFM photogrammetry metric documentation of different building types of a historic center, Int. J. Architect. Herit. 11 (2017) 871–890, https://doi.org/10.1080/15583058.2017.1317884. J. Moyano et al.
Journal of Building Engineering 62 (2022) 105190 19 [66] J. Moyano, J.E. Nieto-Juli´ an, L.M. Lenin, S. Bruno, Operability of point cloud data in an architectural heritage information model, Int. J. Architect. Herit. (2021), https://doi.org/10.1080/15583058.2021.1900951. [67] K. Graham, L. Chow, S. Fai, Level of detail, information and accuracy in building information modelling of existing and heritage buildings, J. Cult. Herit. Manag. Sustain Dev. 8 (2018) 495–507, https://doi.org/10.1108/JCHMSD-09-2018-0067/FULL/PDF. [68] E.B. Anil, P. Tang, B. Akinci, D. Huber, Deviation analysis method for the assessment of the quality of the as-is Building Information Models generated from point cloud data, Autom. ConStruct. 35 (2013) 507–516, https://doi.org/10.1016/J.AUTCON.2013.06.003. [69] J. Chen, S. Li, W. Lu, Align to locate: registering photogrammetric point clouds to BIM for robust indoor localization, Build. Environ. 209 (2022), 108675, https://doi.org/10.1016/J.BUILDENV.2021.108675. [70] J. Grob, A. Osep, B. Leibe, AlignNet-3D: Fast point cloud registration of Partially observed objects, in: Proceedings - 2019 International Conference on 3D Vision, 3DV 2019, 2019, pp. 623–632, https://doi.org/10.1109/3DV.2019.00074. [71] A. Barontini, C. Alarcon, H.S. Sousa, D.V. Oliveira, M.G. Masciotta, M. Azenha, Development and Demonstration of an HBIM Framework for the Preventive Conservation of Cultural Heritage, 2021, https://doi.org/10.1080/15583058.2021.1894502 https://doi.org/10.1080/15583058.2021.1894502. [72] A. Cuartero, J. Armesto, P.G. Rodríguez, P. Arias, Error analysis of terrestrial laser scanning data by means of Spherical Statistics and 3D graphs, Sensors 10 (2010) 10128–10145, https://doi.org/10.3390/s101110128. [73] D. Rebolj, Z. Puˇ cko, N.ˇ C. Babiˇ c, M. Bizjak, D. Mongus, Point cloud quality requirements for Scan-vs-BIM based automated construction progress monitoring, Autom. ConStruct. 84 (2017) 323–334, https://doi.org/10.1016/j.autcon.2017.09.021. [74] L. Sanhudo, N.M.M. Ramos, J.P. Martins, R.M.S.F. Almeida, E. Barreira, M.L. Sim˜ oes, V. Cardoso, A framework for in-situ geometric data acquisition using laser scanning for BIM modelling, J. Build. Eng. 28 (2020), 101073, https://doi.org/10.1016/J.JOBE.2019.101073. [75] L. Barazzetti, Point cloud occlusion recovery with shallow feedforward neural networks, Adv. Eng. Inf. 38 (2018) 605–619, https://doi.org/10.1016/J. AEI.2018.09.007. J. Moyano et al.