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

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OriginalspracheEnglisch
Seiten (von - bis)311-317
Seitenumfang7
FachzeitschriftISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Jahrgang10
Ausgabenummer4
PublikationsstatusVeröffentlicht - 18 Okt. 2024
Veranstaltung2024 Mid-term Symposium on Spatial Information to Empower the Metaverse - Perth, Australien
Dauer: 22 Okt. 202425 Okt. 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.

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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, Jahrgang 10, Nr. 4, 18.10.2024, S. 311-317.

Publikation: Beitrag in FachzeitschriftKonferenzaufsatz in FachzeitschriftForschungPeer-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, Jg. 10, Nr. 4, S. 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 Okt 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 ; Jahrgang 10, Nr. 4. S. 311-317.
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