TY - JOUR
T1 - Rebar inspection integrating augmented reality and laser scanning
AU - Chi, H. L.
AU - Kim, M. K.
AU - Liu, K. Z.
AU - Thedja, J. P.P.
AU - Seo, J.
AU - Lee, D. E.
N1 - Funding Information:
This research was supported by three funding sources including 1) the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIP) (No. 2018R1A5A1025137 ), 2) the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MSIP) (No. 2021R1A5A1083915 ), and 3) the Start-up Research Project Scheme of the Hong Kong Polytechnic University under Grant Number of P0001224 .
Publisher Copyright:
© 2022
PY - 2022/4
Y1 - 2022/4
N2 - Assuring conformity regarding the number, spacing, and location of rebars is an important quality control task in a rebar operation. Nonconformity attributed to missing or mislocated rebars adversely affects structural performance and construct-ability. Rebar craftsmen normally read two-dimensional (2D) shop drawings and install rebars after converting 2D objects to three-dimensional objects in a cognitive image. To ensure conformity, the installation is inspected manually, hence, being tedious and costly. Existing sensing technologies do not lend themselves to effective visualization of the data obtained by the sensing process either in practice or academia. This paper presents an end-to-end method that addresses the existing limitation by hybridizing augmented reality (AR) and laser scanning technologies to provide intuitive and accurate rebar inspection. The AR prototype visualizes rebar inspection outputs and provides rework instructions in an effective manner. An experiment validating the method was performed using a laboratory-scale rebar layout. The results confirmed that the method successfully highlights detailed dimensional information of mislocated rebars and provides inspectors with intuitive rework instructions. Indeed, the method provides a way to detect and repair the nonconformity involved in rebar positions regardless of type, shape, and/or complexity. The method encourages accurate rebar dimensional inspection and intuitive visualization, hence, contributing to effective rebar quality control.
AB - Assuring conformity regarding the number, spacing, and location of rebars is an important quality control task in a rebar operation. Nonconformity attributed to missing or mislocated rebars adversely affects structural performance and construct-ability. Rebar craftsmen normally read two-dimensional (2D) shop drawings and install rebars after converting 2D objects to three-dimensional objects in a cognitive image. To ensure conformity, the installation is inspected manually, hence, being tedious and costly. Existing sensing technologies do not lend themselves to effective visualization of the data obtained by the sensing process either in practice or academia. This paper presents an end-to-end method that addresses the existing limitation by hybridizing augmented reality (AR) and laser scanning technologies to provide intuitive and accurate rebar inspection. The AR prototype visualizes rebar inspection outputs and provides rework instructions in an effective manner. An experiment validating the method was performed using a laboratory-scale rebar layout. The results confirmed that the method successfully highlights detailed dimensional information of mislocated rebars and provides inspectors with intuitive rework instructions. Indeed, the method provides a way to detect and repair the nonconformity involved in rebar positions regardless of type, shape, and/or complexity. The method encourages accurate rebar dimensional inspection and intuitive visualization, hence, contributing to effective rebar quality control.
KW - Augmented reality (AR)
KW - Laser scanning
KW - Rebar inspection
UR - http://www.scopus.com/inward/record.url?scp=85125019653&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2022.104183
DO - 10.1016/j.autcon.2022.104183
M3 - Journal article
AN - SCOPUS:85125019653
SN - 0926-5805
VL - 136
JO - Automation in Construction
JF - Automation in Construction
M1 - 104183
ER -