Mixed Reality-Based Dataset Generation for Learning-Based Scan-to-BIM

Bhadaniya, Parth; Reja, Varun Kumar; Varghese, Koshy

doi:10.1007/978-3-030-68787-8_29

Cited by 8 publications

(1 citation statement)

References 18 publications

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“…Computer vision and its subdomains are being explored for effective and real-time progress monitoring (Paneru and Jeelani, 2021). Computer Vision-Based Construction Progress Monitoring (CV-CPM) involves three steps, namely -data acquisition, as-built modelling, and progress estimation (Bhadaniya, et al, 2021;Reja, et al, 2021). Our recent study presented the integrated CV-CPM framework, which defines the three steps in detail while discussing the tools, technologies, algorithms and the methods involved in each step (Reja, et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

As-built data acquisition for vision-based construction progress monitoring: A qualitative evaluation of factors

Reja¹,

Varghese²,

Ha³

2022

Proceedings of 10th World Construction Symposium 2022

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The accuracy of computer vision-based progress monitoring of construction projects depends on the quality of data acquired. The data acquisition can be conducted through different vision-based sensors combined with several options for sensor mounting. Several factors affect this combination and considering these factors in selecting the acquisition technology and sensor mounting combination is critical for acquiring accurate vision-based data for the project. Currently, their definition and impact of these factors on the selection of these technologies are both subjective, and there are no formal studies to evaluate the impact. Hence, in this study, we first identify and define twelve key factors affecting data acquisition technology and eight factors affecting sensor mounting. Next, a questionnaire survey was designed, and responses from professionals were used to evaluate the Relative Importance Index (RII) for the individual factors for these technologies and methods. The obtained ratings were compared to the author's initial assessment, and the cause for a few variations obtained was justified. This study provides a clear assessment of these factors and forms a basis for selection based on the factors involved with the project requirements.

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