Markerless Augmented Reality for Facility Management: Automated Spatial Registration based on Style Transfer Generative Network

2021 ◽  
Author(s):  
Junjie Chen ◽  
Shuai Li ◽  
Weisheng Lu ◽  
Donghai Liu ◽  
Da Hu ◽  
...  
Author(s):  
A. Ahmad ◽  
P. Claudio ◽  
A. Alizadeh Naeini ◽  
G. Sohn

Abstract. Indoor localization has attracted the attention of researchers for wide applications in areas like construction, facility management, industries, logistics, and health. The Received Signal Strength (RSS) based fingerprinting method is widely adopted because it has a lower cost over other methods. RSS is a measurement of the power present in the received radio signal. While this fingerprinting method is very popular, there is a significant amount of effort required for collecting fingerprints for indoor space. In this paper, we propose an RSS fingerprinting method using Augmented Reality (AR) that does not rely on an external sensor resulting in ease of use and maintenance. This method uses spatial mapping techniques to help align the floor plan of existing buildings; then, after the alignment, we map local device coordinates to global coordinates. After this process, we partition the space in equally distanced reference points for RSS fingerprint collection. We developed an application for Microsoft HoloLens to align the floor plan and collect fingerprints on reference points. Then we tested collected fingerprints with existing RSS based indoor localization methods for its accuracy and performance.


2020 ◽  
Vol 12 (14) ◽  
pp. 2302 ◽  
Author(s):  
Bilawal Mahmood ◽  
SangUk Han ◽  
Dong-Eun Lee

Augmented reality can improve construction and facility management by visualizing an as-planned model on its corresponding surface for fast, easy, and correct information retrieval. This requires the localization registration of an as-built model in an as-planned model. However, the localization and registration of indoor environments fail, owing to self-similarity in an indoor environment, relatively large as-planned models, and the presence of additional unplanned objects. Therefore, this paper proposes a computer vision-based method to (1) homogenize indoor as-planned and as-built models, (2) reduce the search space of model matching, and (3) localize the structure (e.g., room) for registration of the scanned area in its as-planned model. This method extracts a representative horizontal cross section from the as-built and as-planned point clouds to make these models similar, restricts unnecessary transformation to reduce the search space, and corresponds the line features for the estimation of the registration transformation matrix. The performance of this method, in terms of registration accuracy, is evaluated on as-built point clouds of rooms and a hallway on a building floor. A rotational error of 0.005 rad and a translational error of 0.088 m are observed in the experiments. Hence, the geometric feature described on a representative cross section with transformation restrictions can be a computationally cost-effective solution for indoor localization and registration.


Facilities ◽  
2016 ◽  
Vol 34 (1/2) ◽  
pp. 69-84 ◽  
Author(s):  
Masoud Gheisari ◽  
Javier Irizarry

Purpose – With the facility management industry increasingly adopting building information modeling (BIM) technologies, there is a need to investigate where this industry stands in its application. Moreover, studies on efficient and cost-effective solutions to integrate BIM and mobile augmented reality (MAR) present an environment where facility managers can experience an intuitive natural interaction with their mobile interfaces to efficiently access needed information. The industry’s view on this new approach of accessing information from BIM models should also be investigated, and its feedback should be considered for future phases of this avenue of research. Design/methodology/approach – This paper explores not only how BIM can be beneficial to facility management practitioners, but also how its integration with MAR and making the data accessible through handheld mobile devices can enhance current facility management practices. An online survey was conducted to assess professional facility managers’ characteristics, technology use and working environment as well as the current status of BIM application in their practices. An online video scenario has also been used to illustrate to facility managers how an ideal BIM-MAR-integrated environment could provide them with mobile access to their required information. Facility managers’ feedback on usability, applicability and challenges of such environment has also been investigated through a follow-up survey. Findings – With this paper, industry practitioners as well as academic researchers will be able to understand the current status of BIM and mobile computing application in facility management along with the benefits and challenges of implementing these technologies in an augmented reality (AR) environment. Originality/value – Understanding facility managers’ requirements, characteristics and the way they do their tasks would be of great value for development of tools or systems that would facilitate their practices.


Author(s):  
R. Hajji ◽  
A. Kharroubi ◽  
Y. Ben Brahim ◽  
Z. Bahhane ◽  
A. El Ghazouani

Abstract. BIM (Building Information Modeling) is increasingly present in a wide range of applications (architecture, engineering, construction, land use planning, utility management, etc.). BIM allows better management of projects through precise planning, communication and collaboration between several stakeholders as well as facilitating the monitoring of project operations. The emergence of Augmented Reality (AR) technology allows the superposition of (2D, 3D) information directly on the physical world, so generating immersive, interactive and enriching experiences for the user. To take advantages of BIM and AR potential in the interaction and the intuitive management in AECO (Architecture, Engineering, Construction and Operation) projects, we propose a BIM-based AR workflow through an application called "EasyBIM". This latter allows access and interaction with a BIM model through functionalities for measurement, data consultation, collaboration, visualization and integration of information from sensors. The application is developed for mobile platforms (tablet, smartphone), and has as input an IFC file (Industry Foundation Classes). Promising test results show that the developed solution can be easily integrated into a BIM context for several use cases: marketing, collaboration, site monitoring, facility management, etc.


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