Qureshi, A H; Alaloul, W S; Murtiyoso, A; Hussain, S J; Saad, S and Musarat, M A (2024) Automated scaling of point cloud rebar model via aruco-supported controlled markers. Journal of Construction Engineering and Management, 150(3): 04023170, ISSN 0733-9364
Abstract
Photogrammetry has gained the interest of professionals and researchers for activities related to construction projects' progress monitoring via attaining precise 3D point models. However, the precision of the generated models is directly linked with the precise scaling of the point cloud to ground truth dimensions (GTDs). Available scaling-up procedures for the close-range photogrammetry technique are complex, time consuming, and require human intervention, which adds the risk of error in the scaled-up model dimensions. Such a scenario creates hesitation among industry professionals toward implementing point cloud technologies. This paper devises an automated scaling-up methodology to overcome the said concerns by considering the construction progress monitoring theme. The intact process of automated scaling up of point cloud model to GTDs is controlled by two main parameters, that is, Python-based modules and designed ArUco-supported controlled markers. Remarkable outcomes are achieved with less than 1% scaled-up error compared with GTDs, which will improve the confidence of industry professionals toward point cloud technologies.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | advanced monitoring technique; close-range photogrammetry; ground truth dimension; steel reinforcement |
| Index terms: | module, rebar, marker, reinforcement, monitoring, scaling, dimension, point cloud, methodology, construction project, progress monitoring |
| Subjects: | control systems, organization, health monitoring assessment and metrics, building materials, digital design, probability and distributions, production management, research methods, architectural elements, project controls |
| Topics: | Time Control, Site Management, Design Practice, Digital Applications, Research Practice, Project Management, Construction Materials, Business Strategy, Health and Safety |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here