Crowdsourced Geospatial Intelligence: Constructing 3D Urban Maps with Satellitic Radiance Fields
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Geospatial & Map VisualizationCitizen Science & Crowdsourced DataGovernment Officials & Civil ServantsUrban Planners
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Research Questions
3- How can high-precision 3D city maps be generated from satellite radiation fields using crowdsourced GNSS data?Category: Traffic, Mobility, and Spatial Movement PredictionSimilar questionsarrow_forward
- How do satellite signal radiation and attenuation characteristics affect the precision of urban modeling?Category: Traffic, Mobility, and Spatial Movement PredictionSimilar questionsarrow_forward
- How can traditional GNSS modeling methods improve handling of non-line-of-sight (NLOS) signals?Category: Traffic, Mobility, and Spatial Movement PredictionSimilar questionsarrow_forward
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Practical Problems
1- High-precision 3D city maps are expensive and slow to update, making real-time data inaccessible to users.Category: Traffic, Mobility, and Spatial Movement PredictionSimilar questionsarrow_forward
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Source
UbiComp
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Year
2024
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4 authors
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Subtopics
Geospatial & Map Visualization, Citizen Science & Crowdsourced Data
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Professions
Government Officials & Civil Servants, Urban Planners
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Abstract only
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