Visualization of Space Occupancy Uncertainty in a 3D Voxel-based Urban Model

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Original languageEnglish
Pages (from-to)311-317
Number of pages7
JournalISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume10
Issue number4
Publication statusPublished - 18 Oct 2024
Event2024 Mid-term Symposium on Spatial Information to Empower the Metaverse - Perth, Australia
Duration: 22 Oct 202425 Oct 2024

Abstract

In a 3D voxel-based digital urban model - or digital urban twin, the semantics of each cell is typically visualized using RGB values to give a realistic impression. However, due to measurement uncertainties or incompleteness, some voxel occupancy might be less likely than others. This paper suggests computing an occupancy grid map using an inverse sensor model and embodying the obtained occupancy probabilities into the urban digital twin. This article then presents visualization of additional information, in this case the uncertainty in space occupancy, in a 3D voxel-based urban model. To this end, a concept is proposed, in which static visual variables are complemented by dynamics. It suggests to utilize the visual variables transparency, size, and color, supplemented by animation. The main idea is to communicate occupancy uncertainty information and enhance its perception via visual variables while visually inspecting a digital twin in an animation mode, observing the occupancy uncertainty without losing the perception of the urban environment.

Keywords

    Geospatial visualization, Semantic information, Uncertainty visualization, Urban digital twin, Visual variable, Voxel representation

ASJC Scopus subject areas

Cite this

Visualization of Space Occupancy Uncertainty in a 3D Voxel-based Urban Model. / Shkedova, Olga; Sester, Monika.
In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 10, No. 4, 18.10.2024, p. 311-317.

Research output: Contribution to journalConference articleResearchpeer review

Shkedova, O & Sester, M 2024, 'Visualization of Space Occupancy Uncertainty in a 3D Voxel-based Urban Model', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 10, no. 4, pp. 311-317. https://doi.org/10.5194/isprs-annals-X-4-2024-311-2024
Shkedova, O., & Sester, M. (2024). Visualization of Space Occupancy Uncertainty in a 3D Voxel-based Urban Model. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 10(4), 311-317. https://doi.org/10.5194/isprs-annals-X-4-2024-311-2024
Shkedova O, Sester M. Visualization of Space Occupancy Uncertainty in a 3D Voxel-based Urban Model. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2024 Oct 18;10(4):311-317. doi: 10.5194/isprs-annals-X-4-2024-311-2024
Shkedova, Olga ; Sester, Monika. / Visualization of Space Occupancy Uncertainty in a 3D Voxel-based Urban Model. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2024 ; Vol. 10, No. 4. pp. 311-317.
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