A Component Construction Progress Surveillance Method Using LiDAR and BIM

Laser imaging detection and ranging (LiDAR) and Building Information Model (BIM) are widely used in building construction. But there are problems such as inconvenient interaction and inaccurate data registration due to different data coordinate systems. This paper proposes a method for component construction progress surveillance using LiDAR and BIM. Component-level interactions can be performed by splitting the model into components and converting them into point clouds. Then, the problem of inaccurate registration between BIM and LiDAR can be solved by filtering and feature point calibration. Finally, the construction progress can be obtained by performing the k-neighborhood algorithm. To verify the validity and reliability of the proposed method, this paper uses the actual data of the factory under renovation to conduct experiments. The results show that the proposed method achieves a registration tolerance of less than 0.05m. The proposed method has good robustness on outlier points for evaluating the construction progress of components.