Construction Inspection through Spatial Database
This addresses the need for efficient inspection tools in construction, particularly for large multi-storied buildings, but it appears incremental as it combines existing technologies like SLAM and CAD models.
The paper tackles the problem of automating construction inspection by developing a pipeline that uses UAS video, SLAM, and a 3D CAD model to create a spatial database for storing and querying images, enabling metric information extraction and 3D textured model generation for as-built documentation.
This paper presents a novel pipeline for development of an efficient set of tools for extracting information from the video of a structure, captured by an Unmanned Aircraft System (UAS) to produce as-built documentation to aid inspection of large multi-storied building during construction. Our system uses the output from a Simultaneous Localization and Mapping system and a 3D CAD model of the structure in order to construct a spatial database to store images into the 3D CAD model space. This allows the user to perform a spatial query for images through spatial indexing into the 3D CAD model space. The image returned by the spatial query is used to extract metric information. The spatial database is also used to generate a 3D textured model which provides a visual as-built documentation.