scholarly journals Orientation-Constrained System for Lamp Detection in Buildings Based on Computer Vision

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1516 ◽  
Author(s):  
Francisco Troncoso-Pastoriza ◽  
Pablo Eguía-Oller ◽  
Rebeca Díaz-Redondo ◽  
Enrique Granada-Álvarez ◽  
Aitor Erkoreka
Keyword(s):  
Computer Vision ◽  
Optimization Methods ◽  
Geometric Information ◽  
Constrained System ◽  
Building Information Modelling ◽  
Correct Model ◽  
Reprojection Error ◽  
Localization Errors ◽  
Building Information ◽  
Error Filtering

Computer vision is used in this work to detect lighting elements in buildings with the goal of improving the accuracy of previous methods to provide a precise inventory of the location and state of lamps. Using the framework developed in our previous works, we introduce two new modifications to enhance the system: first, a constraint on the orientation of the detected poses in the optimization methods for both the initial and the refined estimates based on the geometric information of the building information modelling (BIM) model; second, an additional reprojection error filtering step to discard the erroneous poses introduced with the orientation restrictions, keeping the identification and localization errors low while greatly increasing the number of detections. These enhancements are tested in five different case studies with more than 30,000 images, with results showing improvements in the number of detections, the percentage of correct model and state identifications, and the distance between detections and reference positions.

scholarly journals Computer Vision Meets Image Processing and UAS PhotoGrammetric Data Integration: From HBIM to the eXtended Reality Project of Arco della Pace in Milan and Its Decorative Complexity

2021 ◽  
Vol 7 (7) ◽  
pp. 118
Author(s):  
Fabrizio Banfi ◽  
Alessandro Mandelli
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Ad Hoc ◽  
Building Information Modelling ◽  
Vast Number ◽  
Aerial Photogrammetry ◽  
Digital Heritage ◽  
Building Information ◽  
Aerial Vehicle ◽  
And Performance

This study aims to enrich the knowledge of the monument Arco della Pace in Milan, surveying and modelling the sculpture that crowns the upper part of the building. The statues and the decorative apparatus are recorded with the photogrammetric technique using both a terrestrial camera and an Unmanned Aerial Vehicle (UAV). Research results and performance are oriented to improve computer vision and image processing integration with Unmanned Aerial System (UAS) photogrammetric data to enhance interactivity and information sharing between user and digital heritage models. The vast number of images captured from terrestrial and aerial photogrammetry will also permit to use of the Historic Building Information Modelling (HBIM) model in an eXtended Reality (XR) project developed ad-hoc, allowing different types of users (professionals, non-expert users, virtual tourists, and students) and devices (mobile phones, tablets, PCs, VR headsets) to access details and information that are not visible from the ground.

Behavioural Intention to Use Building Information Modelling (BIM) among Community College Students in Malaysia

2020 ◽  
Vol 8 (1) ◽  
pp. 4-17
Author(s):  
Nor Akmal Mohamad ◽  
Madihah Khalid
Keyword(s):  
College Students ◽  
Community College ◽  
Community College Students ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Intention To Use ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information

Building information modelling (BIM) is one of the new technologies being used in architectural and constructions projects. At present, BIM curricula are being taught in many Malaysian higher learning institutions, including at the certificate level in community colleges. Even though many studies have investigated behavioural intention to adopt BIM in the industrial setting, studies on the intention to use BIM among students during their training or learning have not received the same level of attention. This study, therefore, investigated the extent to which community college students are willing to accept and use BIM. Factors that influenced their behavioural intention to use BIM, as well as the relationship between the factors and intention to use were also examined. The Technology Acceptance Model (TAM) was used as the theoretical framework to guide the research, where students’ behavioural intention to use BIM was explained through their perceptions of its usefulness and ease of use, as well as their attitude towards BIM utilization in the classroom. A total of 144 community college students enrolled in the architecture programmes in Malaysia were selected as the sample using convenience sampling. The findings show that the students’ behavioural intention to adopt BIM is high. They also perceive BIM as useful and easy to use, and their attitude towards BIM usage appears to be positive. The regression model produced an adjusted R-squared value of 0.790 indicating that 79% of the total variance in the students’ intention to use BIM can be explained by the three independent variables, i.e., perceived usefulness, ease of use, and attitude. Keywords: Building information modelling, perceived usefulness, perceived ease of use, attitude, intention to use, behavioural intention, Technology Acceptance Model

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