Location Prior Generation via Multi-Source Urban Data Fusion for Low-Altitude Air Mobility
Building height, the third dimension (3D) of urban spatial data, is absent in over 95% of structures in global geospatial databases. For the emerging low-altitude economy, this data gap forces each aerial platform to rely on real-time onboard sensing rather than pre-computed 3D scene geometry. We present the Location Prior Generation Framework (LPGF), a multi-source data fusion pipeline that integrates Sentinel-2 imagery, UAV telemetry, vehicle GPS trajectories, and OpenStreetMap footprints into structured, reusable urban location priors. LPGF assigns building heights through a three-tier priority hierarchy: (1) explicit OSM height tags where available, (2) floor count multiplied by 3.2 m...
| Authors | Xiang Xie, Xiaonan Liu |
|---|---|
| Primary category | cs.CV |
| Published | 25 May 2026 |
| Last updated at source | 19 July 2026 |
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