4D World Viewers as Multi-user Content Management Systems

Abstract. Since 2016, our group has developed a modular 4D world web-visualisation software framework for both mobile and desktop devices. A major challenge is to obtain and compile 4D world models at large scale. This article proposes to (a) highlight our data retrieval pipeline and (b) geolocalisation as both rough and fine positioning as well as (c) 3D data processing to blend 3D assets with digital elevation models for seamless 3D environments. Main results include a validation of different approaches for rough and fine level geolocalisation by using Large Language and Vision Language Models as well as key point matchers and a preprocessing of 3D assets to generate 3D environments. The article shows results from the validation of these pipelines with ground-truth material taken from our datasets of 75,000 3D mesh models and 1.5 M images.

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Publication Details

Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-10-02
DOI
https://doi.org/10.5194/isprs-archives-xlviii-m-9-2025-1043-2025
Primary Topic
Multimedia Communication and Technology
Type
article
Field-Weighted Citation Impact
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4D World Viewers as Multi-user Content Management Systems

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˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
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4D World Viewers as Multi-user Content Management Systems

Dominik Ukolov, Jonas Bruschke, Rebecca Preßler, Sander Münster, Dávid Komorowicz, Vaibhav Rajan
article en

Abstract

Abstract. Since 2016, our group has developed a modular 4D world web-visualisation software framework for both mobile and desktop devices. A major challenge is to obtain and compile 4D world models at large scale. This article proposes to (a) highlight our data retrieval pipeline and (b) geolocalisation as both rough and fine positioning as well as (c) 3D data processing to blend 3D assets with digital elevation models for seamless 3D environments. Main results include a validation of different approaches for rough and fine level geolocalisation by using Large Language and Vision Language Models as well as key point matchers and a preprocessing of 3D assets to generate 3D environments. The article shows results from the validation of these pipelines with ground-truth material taken from our datasets of 75,000 3D mesh models and 1.5 M images.

˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-M-9-2025
Friedrich Schiller University Jena (DE)
Openalex Percentile: Top 64%
Multimedia Communication and Technology
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