@inproceedings{36225cd54bfc41a7b0d7d7ad0127f754,
title = "MLS2LoD3: Refining Low LoDs Building Models with MLS Point Clouds to Reconstruct Semantic LoD3 Building Models",
abstract = "Although highly-detailed LoD3 building models reveal great potential in various applications, they have yet to be available. The primary challenges in creating such models concern not only automatic detection and reconstruction but also standard-consistent modeling. In this paper, we introduce a novel refinement strategy enabling LoD3 reconstruction by leveraging the ubiquity of lower LoD building models and the accuracy of MLS point clouds. Such a strategy promises at-scale LoD3 reconstruction and unlocks LoD3 applications, which we also describe and illustrate in this paper. Additionally, we present guidelines for reconstructing LoD3 facade elements and their embedding into the CityGML standard model, disseminating gained knowledge to academics and professionals. We believe that our method can foster development of LoD3 reconstruction algorithms and subsequently enable their wider adoption.",
keywords = "CityGML, LoD3 applications, LoD3 reconstruction, Refinement strategy, Semantic 3D city models",
author = "Olaf Wysocki and Ludwig Hoegner and Uwe Stilla",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International 3D GeoInfo Conference, 3DGeoInfo 2023 ; Conference date: 12-09-2023 Through 14-09-2023",
year = "2024",
doi = "10.1007/978-3-031-43699-4_23",
language = "English",
isbn = "9783031436987",
series = "Lecture Notes in Geoinformation and Cartography",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "367--380",
editor = "Kolbe, {Thomas H.} and Andreas Donaubauer and Christof Beil",
booktitle = "Recent Advances in 3D Geoinformation Science - Proceedings of the 18th 3D GeoInfo Conference",
}