Machine Learning-Based Environment-Aware GNSS Integrity Monitoring for Urban Air Mobility
The increasing deployment of unmanned aerial vehicles (UAVs) in urban air mobility (UAM) necessitates robust Global Navigation Satellite System (GNSS) integrity monitoring that can adapt to the complexities of urban environments. The traditional integrity monitoring approaches struggle with the uniq...
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| Main Authors: | Oguz Kagan Isik, Ivan Petrunin, Antonios Tsourdos |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Drones |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-446X/8/11/690 |
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