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A platform for research: civil engineering, architecture and urbanism
Real-Time Image-to-BIM Registration Using Perspective Alignment for Automated Construction Monitoring
Deviations from planned schedules in construction projects frequently lead to unexpected financial disadvantages. However, early assessments of delays or accelerations during the construction phase enables the adjustment of succeeding tasks and their dependencies. These assessments involve human resources and as-built information that may not be immediately available. To reduce manual processes of collecting and generating as-built information, this paper presents the development and validation of a new pipeline of localizing a camera to a BIM by detecting and matching perspectives of images and the BIM. The proposed method increases the degree of automation of construction progress monitoring. The novel method registers as-built video data on as-planned BIM data in real-time using computer vision algorithms. The results demonstrate the improved registration errors compared to that of the manual correspondence selection and the potential for automating the initial manual steps of data collection and registration of the past studies that attempted to automate progress detection and quality assessment.
Real-Time Image-to-BIM Registration Using Perspective Alignment for Automated Construction Monitoring
Deviations from planned schedules in construction projects frequently lead to unexpected financial disadvantages. However, early assessments of delays or accelerations during the construction phase enables the adjustment of succeeding tasks and their dependencies. These assessments involve human resources and as-built information that may not be immediately available. To reduce manual processes of collecting and generating as-built information, this paper presents the development and validation of a new pipeline of localizing a camera to a BIM by detecting and matching perspectives of images and the BIM. The proposed method increases the degree of automation of construction progress monitoring. The novel method registers as-built video data on as-planned BIM data in real-time using computer vision algorithms. The results demonstrate the improved registration errors compared to that of the manual correspondence selection and the potential for automating the initial manual steps of data collection and registration of the past studies that attempted to automate progress detection and quality assessment.
Real-Time Image-to-BIM Registration Using Perspective Alignment for Automated Construction Monitoring
Asadi, Khashayar (author) / Han, Kevin (author)
Construction Research Congress 2018 ; 2018 ; New Orleans, Louisiana
Construction Research Congress 2018 ; 388-397
2018-03-29
Conference paper
Electronic Resource
English
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