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Journal Article Dynamic tile-map generation for crack-free rendering of large-scale terrain data
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Authors
Cheonin Oh, Ahyun Lee
Issue Date
2025-07
Citation
ETRI Journal, v.권호미정, pp.1-13
ISSN
1225-6463
Publisher
한국전자통신연구원
Language
Korean
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.2024-0496
Abstract
Three-dimensional (3D) geospatial technologies are essential in urban digital twins, smart cities, and metaverse. Rendering large-scale terrain data, often exceeding tens of terabytes, presents challenges. While planetary-scale platforms, like Google Earth and Cesium stream data, the streaming of data and the use of regular grid-type digital elevation models lead to cracks among tiles with different levels of detail. This paper proposes a novel dynamic tile-map generation method to eliminate these cracks. Unlike existing methods, our approach leverages tile subindex information to efficiently construct a tile adjacency map, significant reducing the search space for neighboring tiles and eliminating the need for prior knowledge of the terrain tile structure. Furthermore, our approach is robust to data loss, mitigating cracks caused by missing or incomplete tiles. Compared with existing root-down search methods, our method reduces processing time by 1–5 ms per frame and decreases the number of tile-to-tile links by a factor of 3–5, as demonstrated by experimental results.
KSP Keywords
Data loss, Digital Elevation Model, Google Earth, Levels of detail, Map generation, Regular grid, Search Space, Smart city, Stream Data, Terrain data, Three dimensional(3D)
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
Type 4: