On procedural urban digital twin generation and visualization of large scale data

• DOI: 10.48550/arxiv.2305.02242
• Publication Date: 2023-01-01
• Authors: Sanjay Somanath; Vasilis Naserentin; Orfeas Eleftheriou; Daniel Sjölie; Beata Stahre Wäst...; Anders Logg
• Keywords: FOS: Computer and information sciences; Computer Science - Graphics; 11. Sustainability; Graphics (cs.GR)

The desired outcome for urban digital twins is an automatically generated detailed 3D model of a building from aerial imagery, footprints, LiDAR, or fusion these. Such models have applications in architecture, civil engineering, planning, construction, real estate, GIS, and many others. Further, the visualization large-scale data conjunction with often recurring resource-intensive task. However, completely automated end-to-end workflow complex, requiring steps to achieve high-quality visualization. Methods reconstruction approaches come long way previously manual semi-automatic automatic approaches. next step after reconstructing buildings visualizing their context. Advances real-time rendering using game engines enabled extension methods procedurally context generation. This paper aims complement existing First, we present literature review covering different options generation in-depth, focusing on workflows pipelines. Next, semi-automated that extends pipeline include procedural (terrain vegetation) Unreal Engine and, finally, integration various types analysis We conclude series challenges faced achieving such pipelines limitations current approach. complete, solution involve developing robust systems detection, rooftop recognition, geometry importing same environment.