Real-Time Image Localization and Registration with BIM Using Perspective Alignment for Indoor Monitoring of Construction

Abstract

Construction performance monitoring has been identified as a key component that leads to the success of a construction project. Real-time and frequent monitoring will enable early detection of potential schedule delays and facilitate the communication of progress information accurately and quickly. To facilitate as-built and as-planned data comparison, this paper proposes an automated registration of a video sequence (i.e., a series of image frames) to an as-planned building information model (BIM) in real time. This method discovers the camera poses of image frames in the BIM coordinate system by performing an augmented monocular simultaneous localization and mapping (SLAM) and perspective detecting and matching between the image frames and their corresponding BIM views. The results demonstrate the effectiveness of real-time registration of images with BIMs. The presented method can potentially fully automate past studies that automate progress inference, given visual representation of as-built models aligned with BIM. Moreover, it will facilitate communication on jobsites by associating quality and progress with visuals that are in the BIM coordinate system.