CAD model and physical object alignment method using LiDAR
The method addresses inefficiencies in aligning CAD models with physical objects by using a portable smart device with LiDAR for point cloud collection and server-based parallel ICP alignment, enhancing accuracy and reducing remediation costs.
KR102991618B1Active Publication Date: 2026-07-15
Patent Information
- Authority / Receiving Office
- KR · KR
- Patent Type
- Patents
- Filing Date
- 2025-12-15
- Publication Date
- 2026-07-15
AI Technical Summary
Technical Problem
Conventional construction and fabrication methods face inefficiencies in accurately comparing CAD designs with actual structures due to reliance on visual inspection, limitations of low-resolution LiDAR data, and lack of real-time alignment technologies, leading to time-consuming and costly remediation efforts.
Method used
A method utilizing a portable smart device with LiDAR for point cloud collection, server-based parallel ICP alignment, and real-time visualization, ensuring same-resolution sampling and data processing to align CAD models with physical objects.
Benefits of technology
Enables quick and accurate detection of construction deviations, reducing rework costs and improving inspection quality by intuitively verifying alignment results on-site.
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Smart Images
Figure 112025141397219-PAT00001_ABST
Abstract
A method for aligning a CAD model with a physical object using LiDAR is disclosed. The gist of the method for aligning a CAD model with a physical object according to an embodiment of the present invention is to include: a physical object point cloud collection step in which a depth image captured by a camera of a user’s portable smart device is converted into a 3D point cloud and transmitted to a server target physical object data; a CAD point cloud collection step in which points colliding with an actual mesh through a raycast are collected as a point cloud and source model data is transmitted to a server; a server ICP alignment step in which an ICP algorithm operation is performed on a server that receives the target physical object data and source model data, and the source model data is aligned with the target physical object data by parallel processing the ICP algorithm operation using a Unity Burst + Job System to ensure performance, and then the aligned result data is transmitted to the user’s portable smart device; and a alignment result visualization step in which the result aligned from the local server ICP alignment step is output to the user’s portable smart device.
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