Maalek, RezaLichti, Derek DMaalek, Shahrokh2021-04-272021-04-272021-04-27Maalek, 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.2021.103735http://hdl.handle.net/1880/11332110.11575/PRISM/46017This 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.Unless 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.3D metric reconstructionsmartphone photogrammetrypoint cloud pipe detectionmechanical progress reportingmechanical pipes as-built digital documentationjournal article542980 - 19https://doi.org/10.1016/j.autcon.2021.103735