Integration of BIM in Steel Building Projects (BIM-DFE): A Delphi Survey

[EN] This study aims to design a BIM integration model for steel building projects (BIM-DFE). It was developed in the following three phases: (i) theoretical phase, (ii) validation phase, and (iii) statistical analysis for the theoretical phase. A literature review was conducted to study the applications of BIM in steel building projects and to develop an integrated BIM process map for the construction lifecycle of steel buildings. Subsequently, in the validation phase, 32 participants were invited to complete a two-round Delphi questionnaire to validate the BIM-DFE proposal. The participants were classified according to their knowledge level (skilled or expert). Based on the literature review, a process map that integrates BIM in different phases of a steel building project was created. In the first round of the Delphi questionnaire for the validation phase, the various groups studied (skilled vs. expert) were in moderate agreement with the BIM-DFE proposal; however, after the second round, this agreement became better. Therefore, this study contributes to the current body of knowledge by providing a BIM integration model to improve the management of steel building projects as defined by critical stakeholders in the steel industry. In addition, a real-time case is presented to elucidate a part of the research contribution.Avendaño, JI.; Zlatanova, S.; Pérez, P.; Domingo Cabo, A.; Correa, C. (2022). Integration of BIM in Steel Building Projects (BIM-DFE): A Delphi Survey. Buildings. 12(9):1-29. https://doi.org/10.3390/buildings1209143912912

Utilization of BIM in Steel Building Projects: A Systematic Literature Review

[EN] This research aims to bridge the information gap pertaining to the utilization of building information modeling (BIM) in steel building projects. Therefore, a systematic literature review (SLR) was conducted to synthesize the available uses. This research involved three phases-planning, execution, and reporting-according to the PRISMA guide, which includes the main aspects of identification, screening, and eligibility. As a result of the SLR, it is evident how and where BIM facilitates steel building projects, which were grouped into three different categories according to their main BIM topics. One of the uses that stands out as a common denominator across the different processes is "early integration". Early integration allows for optimization of the design based on existing resources, directly affecting the cost and time of steel building projects in a positive manner.Avendaño, JI.; Zlatanova, S.; Domingo Cabo, A.; Pérez, P.; Correa, C. (2022). Utilization of BIM in Steel Building Projects: A Systematic Literature Review. Buildings. 12(6):1-18. https://doi.org/10.3390/buildings1206071311812

Spying the underground: visualizing subsurface utilities’ location uncertainties with fuzzy 3D

Spying the Underground refers to the buried utilities that are often hidden from the eyes of citizens and city engineers. Since they are difficult to localize and measure from street level, utility plans are the only models that convey geometry information about them. Nowadays, Augmented Reality (AR) techniques allow us to display three-dimensional (3D) virtual utility models over a surface level camera image. To achieve this, 3D information needs to be added to existing utility models. Therefore, we developed a data model that allows storage of depth and geometry information. Based on this, we developed a fuzzy model that will visualize a fuzzy shape that indicates the uncertainty related to the location of each utility. We developed all this while generating 3D models for subsurface utilities at Oostplein Rotterdam

Spying the underground: visualizing subsurface utilities’ location uncertainties with fuzzy 3D

Spying the Underground refers to the buried utilities that are often hidden from the eyes of citizens and city engineers. Since they are difficult to localize and measure from street level, utility plans are the only models that convey geometry information about them. Nowadays, Augmented Reality (AR) techniques allow us to display three-dimensional (3D) virtual utility models over a surface level camera image. To achieve this, 3D information needs to be added to existing utility models. Therefore, we developed a data model that allows storage of depth and geometry information. Based on this, we developed a fuzzy model that will visualize a fuzzy shape that indicates the uncertainty related to the location of each utility. We developed all this while generating 3D models for subsurface utilities at Oostplein Rotterdam

Geo-Design:

Geo-Design. Advances in bridging geo-information technology and design brings together a wide variety of contributions from authors with backgrounds in urban planning, landscape architecture, education and geo-information technology presenting the latest insights and applications of geodesign. Geo-Design is here understood as a hybridization of the concepts “Geo” – representing the modelling, analytical and visualisation capacities of GIS, and “Design” – representing spatial planning and design, turning existing situations into preferred ones. Through focusing on interdisciplinary design-related concepts and applications of GIS international experts share their recent findings and provide clues for the further development of geodesign. This is important since there is still much to do. Not only in the development of geo-information technology, but especially in bridging the gap with the design disciplines. The uptake on using GIS is still remarkably slow among landscape architects, urban designers and planners, and when utilised it is often restricted to the basic tasks of mapmaking and data access. Knowledge development and dissemination of applications of geodesign through research, publications and education, therefore, remain key factors. This publication draws upon the insights shared at the Geodesign Summit Europe held at the Delft University of Technology in 2014. All contributions in the book are double blind reviewed by experts in the field

Survey on indoor map standards and formats

With the adoption of indoor positioning solutions, which enable for a variety of location-based spatial services, a number of indoor map standards and formats have been proposed in the last decade. As each of these indoor map standard has its own purpose, the strengths and weaknesses are necessary to be understood and analyzed before selecting one of them for a given application. The Indoor Map Subcommittee has been established under IPIN/ISC in 2017. Among others, the goal of this working group is to compare available indoor map standards, provide a guideline for their application and advise on changes to their standardization development organizations if necessary. In this paper we present a survey of indoor map standards as an achievement of the subcommittee. The scope of the survey covers official standards such as IFC of BuildingSmart, IndoorGML and CityGML of OGC, and Indoor OpenStreetMap. We present several use-cases to show and discuss how to build indoor maps.The work of K.-J. Li was supported by a grant (19NSIP-B135746-03) from National Spatial Information Research Program (NSIP) funded by MOLIT of Korean government. The work of C. Laoudias has been supported by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 739551 (KIOS CoE) and from the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development. Torres-Sospedra and Perez-Navarro want to thank the Spanish network of excellence, REPNIN+,TEC2017-90808-REDT. The work of A. Moreira has been supported by FCT -Fundacao para a Ciencia e Tecnologia within the Project Scope: UID/CEC/00319/2019

Robust Approach for Urban Road Surface Extraction Using Mobile Laser Scanning Data

Road surface extraction is crucial for 3D city analysis. Mobile laser scanning (MLS) is the most appropriate data acquisition system for the road environment because of its efficient vehicle-based on-road scanning opportunity. Many methods are available for road pavement, curb and roadside way extraction. Most of them use classical approaches that do not mitigate problems caused by the presence of noise and outliers. In practice, however, laser scanning point clouds are not free from noise and outliers, and it is apparent that the presence of a very small portion of outliers and noise can produce unreliable and non-robust results. A road surface usually consists of three key parts: road pavement, curb and roadside way. This paper investigates the problem of road surface extraction in the presence of noise and outliers, and proposes a robust algorithm for road pavement, curb, road divider/islands, and roadside way extraction using MLS point clouds. The proposed algorithm employs robust statistical approaches to remove the consequences of the presence of noise and outliers. It consists of five sequential steps for road ground and non-ground surface separation, and road related components determination. Demonstration on two different MLS data sets shows that the new algorithm is efficient for road surface extraction and for classifying road pavement, curb, road divider/island and roadside way. The success can be rated in one experiment in this paper, where we extract curb points; the results achieve 97.28%, 100% and 0.986 of precision, recall and Matthews correlation coefficient, respectively

TO LOCALISE OR TO BE LOCALISED WITH WIFI IN THE HUBEI MUSEUM?

ISPRS The first method detects the beacon frames send by smartphones, laptops and other WiFi enabled devices in range using Libelium Meshlium Xtreme monitors. Their MAC addresses and the signal strength is measured by the Meshlium Xtreme and stored on an external database. We call this method WiFi monitoring. The second method a Wifi enabled device, like a smartphone, measures the signal strength of multiple Wifi Access Points in range to localise itself based on a previously created radio map. This method is known as WiFi fingerprinting. Both methods have some advantages and disadvantages. Advantages of the common way of WiFi fingerprinting are that the implementation costs are relatively low, because it is usually possible to use (a part of) the existing WiFi AP infrastructure. WiFi fingerprinting can reach a relatively high accuracy in the order of magnitude of meters. Finally, the location granularity can be adjusted to what is necessary for the purpose of the indoor localisation. This makes it employable for a wide range of purposes. The question remains how suitable these methods are for a 3D indoor navigation system for the Hubei provincial museum. One important aspect is the localisation-granularity necessary for the application. In a museum it is not necessary to know the exact X,Y position of a user (such high accuracy is unnecessary), more important is to know in which room the user is located so the information on exhibitions can be presented and the starting point of the navigation can be determined. Both methods can track the user and tell the room he or she is located at. Although WiFi smartphone monitoring may have a low update frequency it is still suitable for a navigation system for a museum since visitors usually spend more than a couple of minutes within a room

Spatial tools for diagnosing the degree of safety and liveability, and to regenerate urban areas in the Netherlands

This contribution describes the tool Social Safe Urban Design (SSUD), seen together with socio-spatial and linguistic challenges when applying space syntax in the regenerating of problem urban areas. The Space Syntax jargon is technical and needs to be translated into a language understandable and acceptable to stakeholders who are responsible for the implementation of improvement strategies acceptable for the users of a neighbourhood. Moreover, the degree of public-private interface between buildings and streets needs to be incorporated in the Space Syntax analyses. As it turns out from spatial analyses and crime registrations, there is a correlation between crime and anti-social behaviour and the spatial layout of built environments in the investigated eight pilot cases. Simultaneously, there is also a challenge to come up with locally and globally functioning spatial solutions for reducing opportunities for crime and anti-social behaviour for the neighbourhoods. Proposed solutions for three of these neighbourhoods are presented in this contribution

Automatic Registration of Terrestrial Laser Scanning Point Clouds using Panoramic Reflectance Images

This paper presents a new approach to the automatic registration of terrestrial laser scanning (TLS) point clouds using panoramic reflectance images. The approach follows a two-step procedure that includes both pair-wise registration and global registration. The pair-wise registration consists of image matching (pixel-to-pixel correspondence) and point cloud registration (point-to-point correspondence), as the correspondence between the image and the point cloud (pixel-to-point) is inherent to the reflectance images. False correspondences are removed by a geometric invariance check. The pixel-to-point correspondence and the computation of the rigid transformation parameters (RTPs) are integrated into an iterative process that allows for the pair-wise registration to be optimised. The global registration of all point clouds is obtained by a bundle adjustment using a circular self-closure constraint. Our approach is tested with both indoor and outdoor scenes acquired by a FARO LS 880 laser scanner with an angular resolution of 0.036° and 0.045°, respectively. The results show that the pair-wise and global registration accuracies are of millimetre and centimetre orders, respectively, and that the process is fully automatic and converges quickly