Image-based reality-capturing and 3D modelling for the creation of VR cycling simulations

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2021
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01A - Journal article
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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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V-4-2021
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Copernicus
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Abstract
With this paper, we present a novel approach for efficiently creating reality-based, high-fidelity urban 3D models for interactive VR cycling simulations. The foundation of these 3D models is accurately georeferenced street-level imagery, which can be captured using vehicle-based or portable mapping platforms. Depending on the desired type of urban model, the street-level imagery is either used for semi-automatically texturing an existing city model or for automatically creating textured 3D meshes from multi-view reconstructions using commercial off-the-shelf software. The resulting textured urban 3D model is then integrated with a real-time traffic simulation solution to create a VR framework based on the Unity game engine. Subsequently, the resulting urban scenes and different planning scenarios can be explored on a physical cycling simulator using a VR helmet or viewed as a 360-degree or conventional video. In addition, the VR environment can be used for augmented reality applications, e.g., mobile augmented reality maps. We apply this framework to a case study in the city of Berne to illustrate design variants of new cycling infrastructure at a major traffic junction to collect feedback from practitioners about the potential for practical applications in planning processes.
Keywords
Mobile mapping, Biking simulation, Urban mobility, Virtual reality, 3D modelling, Urban scene reconstruction
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2194-9050
2194-9042
Language
English
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Yes
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Published
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Peer review of the complete publication
Open access category
Gold
License
'https://creativecommons.org/licenses/by/4.0/'
Citation
Wahbeh, W., Ammann, M., Nebiker, S., van Eggermond, M., & Erath, A. (2021). Image-based reality-capturing and 3D modelling for the creation of VR cycling simulations. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, V-4-2021. https://doi.org/10.5194/isprs-annals-v-4-2021-225-2021