IEEE VR 2024 Best Paper Honorable Mention Award

March 12, 2024 / cwr

Paper "Instant Segmentation and Fitting of Excavations in Subsurface Utility Engineering" receives award.
[Picture: Stranner, Fleck, Schmalstieg, Arth, Illustration of the segmentation approach, CC BY 4.0]

At the 31st IEEE Conference on Virtual Reality and 3D User Interfaces, Marco Stranner (TU Graz), Philipp Fleck (TU Graz), Dieter Schmalstieg (VISUS), and Clemens Arth (TU Graz) receive a Best Paper Honorable Mention Award for their paper "Instant Segmentation and Fitting of Excavations in Subsurface Utility Engineering". Congratulations!

The IEEE VR 2024 takes place from March 16 to 24, 2024 in Orlando, Florida, USA. From the publications submitted for the conference, only about 3% are nominated for an award by the program committee. From these papers, the separate Conference Awards Selection Committee selects the best papers to receive a Best Paper Award (approximately 1% of all papers), while a selection of the remaining papers receives an Honorable Mention Award.


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.

Link to publication

To the top of the page