Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones

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dc.contributor.authorMaalek, Reza
dc.contributor.authorLichti, Derek D
dc.contributor.authorMaalek, Shahrokh
dc.date.accessioned2021-04-27T21:40:48Z
dc.date.available2021-04-27T21:40:48Z
dc.date.issued2021-04-27
dc.description.abstractThis manuscript presents a new framework towards automated digital documentation and progress reporting of mechanical pipes in building construction projects, using smartphones. New methods were 13proposed to optimize video frame rate to achieve a desired image overlap; define metric scale for 3D reconstruction; extract pipes from point clouds; and classify pipes according to their planned bill of quantity radii. The effectiveness of the proposed methods in both laboratory (six pipes) and construction site (58 pipes) conditions was evaluated. It was observed that the proposed metric scale definition achieved sub-millimeter pipe radius estimation accuracy. Both laboratory and field experiments revealed that increasing the defined image overlap improved point cloud quality, pipe classification quality, and pipe radius/length estimation. Overall, it was found possible to achieve pipe classification F-measure, radius estimation accuracy, and length estimation percent error of 96.4%, 5.4mm, and 5.0%, respectively, on construction sites using at least 95% 21image overlap.en_US
dc.description.grantingagencyNatural Sciences and Engineering Research Council (NSERC)en_US
dc.identifier.citationMaalek, R., Lichti, D. D., & Maalek, S. (2021). Towards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphones. Automation in Construction. doi:10.1016/j.autcon.2021.103735en_US
dc.identifier.doihttps://doi.org/10.1016/j.autcon.2021.103735en_US
dc.identifier.grantnumber542980 - 19en_US
dc.identifier.urihttp://hdl.handle.net/1880/113321
dc.identifier.urihttps://doi.org/10.11575/PRISM/46017
dc.publisherElsevieren_US
dc.publisher.departmentGeomatics Engineeringen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.hasversionacceptedVersionen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.publisher.policyhttps://www.elsevier.com/journals/automation-in-construction/0926-5805/open-access-optionsen_US
dc.rightsUnless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subject3D metric reconstructionen_US
dc.subjectsmartphone photogrammetryen_US
dc.subjectpoint cloud pipe detectionen_US
dc.subjectmechanical progress reportingen_US
dc.subjectmechanical pipes as-built digital documentationen_US
dc.titleTowards Automatic Digital Documentation and Progress Reporting of Mechanical Construction Pipes using Smartphonesen_US
dc.typejournal articleen_US
ucalgary.item.requestcopytrueen_US
ucalgary.scholar.levelFacultyen_US
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