mlsanityData to 7 Oct 2026

Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands

arXiv 2201.01191 ↗First posted 30 Dec 2021cs.CV eess.IVcited by 14

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Abstract (arXiv)

In this paper we present our workflow to automatically reconstruct 3D building models based on 2D building polygons and a LiDAR point cloud. The workflow generates models at different levels of detail (LoDs) to support data requirements of different applications from one consistent source. Specific attention has been paid to make the workflow robust to quickly run a new iteration in case of improvements in an algorithm or in case new input data become available. The quality of the reconstructed data highly depends on the quality of the input data and is monitored in several steps of the process. A 3D viewer has been developed to view and download the openly available 3D data at different LoDs in different formats. The workflow has been applied to all 10 million buildings of The Netherlands. The 3D service will be updated after new input data becomes available.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). Builds on 1 of its 23 references that are in the map. First posted on arXiv 30 Dec 2021.

Builds on

1 of 23 references.

References · 1

  1. 2019CityJSON: a compact and easy-to-use encoding of the CityGML data modelcited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 1; 2025: 7; 2026: 2.

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  1. 2025GlobalBuildingAtlas: An Open Global and Complete Dataset of Building Polygons, Heights and LoD1 3D Modelscited by 16
  2. 2024LoD-Loc: Aerial Visual Localization using LoD 3D Map with Neural Wireframe Alignmentcited by 12
  3. 2023PolyGNN: Polyhedron-based Graph Neural Network for 3D Building Reconstruction from Point Cloudscited by 10
  4. 2023BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Modelscited by 6
  5. 2025LoD-Loc v2: Aerial Visual Localization over Low Level-of-Detail City Models using Explicit Silhouette Alignmentcited by 5
  6. 2025PG-SAG: Parallel Gaussian Splatting for Fine-Grained Large-Scale Urban Buildings Reconstruction via Semantic-Aware Groupingcited by 4
  7. 2025OpenCity3D: What do Vision-Language Models know about Urban Environments?cited by 3
  8. 2025MeSS: City Mesh-Guided Outdoor Scene Generation with Cross-View Consistent Diffusioncited by 3
  9. 2025Building Floor Number Estimation from Crowdsourced Street-Level Images: Munich Dataset and Baseline Methodcited by 1
  10. 20253dSAGER: Geospatial Entity Resolution over 3D Objects (Technical Report)cited by 1
  11. 2023Towards AI-Architecture Liberty: A Comprehensive Survey on Design and Generation of Virtual Architecture by Deep Learningcited by 0
  12. 2023Unsupervised Roofline Extraction from True Orthophotos for LoD2 Building Model Reconstructioncited by 0
2 more
  1. 2026ArchEGraph: A Large-Scale Graph Dataset for Geometry-Topology-Physics Aligned Building Energy Modelingcited by 0
  2. 2026ProxyBuild: Text-Guided Structured 3D Building Generation with Mesh-Anchored Procedural Proxiescited by 0