Predicting GNSS Availability in Urban Canyons: A Scalable Automated 3D Ray-Tracing Approach Integrating OpenStreetMap and Terrain Elevation Data

Andrea Maffia, Tiziano Cosso, Giorgio Delzanno

Open source

DOI
10.3390/s26196313
Published
2026-10-06
Container
Sensors
Publisher
MDPI AG
Open access
unknown

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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

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