Best Paper Honorable Mention: Instant Segmentation and Fitting of Excavations in Subsurface Utility Engineering

AR for subsurface utility engineering (SUE) has benefited from recent advances in sensing hardware. In this work, we present a novel approach to automate the process of aligning existing SUE databases with measurements taken during excavation works, with the potential to correct the deviation from the as-planned to as-built documentation. Our segmentation algorithm performs infrastructure segmentation based on the live capture of an excavation on site. Our fitting approach correlates the inferred position and orientation with the existing digital plan and registers the as-planned model into the as-built state. We show the results of our proposed method on both synthetic data and a set of real excavations.