Predicting GNSS Availability in Urban Canyons: A Scalable Automated 3D Ray-Tracing Approach Integrating OpenStreetMap and Terrain Elevation Data
- DOI
- 10.3390/s26196313
- Published
- 2026-10-06
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26196313,
title = {Predicting GNSS Availability in Urban Canyons: A Scalable Automated 3D Ray-Tracing Approach Integrating OpenStreetMap and Terrain Elevation Data},
author = {Andrea Maffia and Tiziano Cosso and Giorgio Delzanno},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26196313},
url = {https://doi.org/10.3390/s26196313}
}RIS
TY - JOUR TI - Predicting GNSS Availability in Urban Canyons: A Scalable Automated 3D Ray-Tracing Approach Integrating OpenStreetMap and Terrain Elevation Data AU - Andrea Maffia AU - Tiziano Cosso AU - Giorgio Delzanno PY - 2026 JO - Sensors DO - 10.3390/s26196313 UR - https://doi.org/10.3390/s26196313 ER -
APA
Maffia, A., Cosso, T., & Delzanno, G. (2026). Predicting GNSS Availability in Urban Canyons: A Scalable Automated 3D Ray-Tracing Approach Integrating OpenStreetMap and Terrain Elevation Data. Sensors. https://doi.org/10.3390/s26196313
Source records
- crossref · retrieved 2026-11-05T06:35:17.437Z