3D Indoor Reconstruction Based on Spatial Layout Estimation Using Panoramic Inspection Video from Building Sites

As the demand for digital delivery of construction projects in the Architectural Engineering and Construction (AEC) industry continues to increase, the importance of worksite inspection and supervision is emphasized. Digital twin modeling of construction processes can reflect real-time site conditions, aiding refined management and project delivery. This paper explores the task of 3D layout reconstruction of interior construction sites through inspection by employing a portable 360-degree panoramic camera. The method uses visual simultaneous localization and Mapping (vSLAM) technology to precisely estimate camera poses during inspections, generating a motion trajectory and selecting key panoramic frames through an optimal capture point searching algorithm. Before reconstruction, the system integrates Inertial Measurement Unit (IMU) data to determine positional relationships between panoramic camera viewpoints, aligning multiple panoramic images into a unified coordinate system for accurate spatial reconstruction. Three-dimensional indoor layouts are reconstructed from panoramic images using a deep learning-based algorithm to automatically detect vertices through panoramic geometry calculations from a single panorama. An experiment with the existing floor plan is conducted to demonstrate the validity of the proposed method. This research introduces a novel approach that enhances the real-time capabilities and automation of spatial layout modeling for construction sites, laying the groundwork for intelligent inspections and holding significant engineering potential for rapid spatial layout recovery and object space mapping in future applications.