Enhanced RF-based 3D UAV Outdoor Geolocation: from Trilateration to Machine Learning Approaches

3D drone geolocation RF-based geolocation Outdoor geolocation Machine learning UAV geolocation 3D drone geolocation RF-based geolocation Outdoor geolocation Machine learning UAV geolocation

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Intelligence artificielle [cs.AI]

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HAL_IEEE_ISORC.pdf (1.94 Mo)

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Mariem BELHOR : Connectez-vous pour contacter le contributeur

https://hal.science/hal-04552689

Soumis le : vendredi 19 avril 2024-14:19:08

Dernière modification le : mardi 19 novembre 2024-03:27:39

Dates et versions

hal-04552689 , version 1 (19-04-2024)

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HAL Id : hal-04552689 , version 1
DOI : 10.1109/ISORC61049.2024.10551331

Citer

Mariem Belhor, Anne Savard, Anthony Fleury, Patrick Sondi, Valeria Loscri. Enhanced RF-based 3D UAV Outdoor Geolocation: from Trilateration to Machine Learning Approaches. 2024 IEEE 27th International Symposium on Real-Time Distributed Computing (ISORC), May 2024, Tunis, France. pp.1-8, ⟨10.1109/ISORC61049.2024.10551331⟩. ⟨hal-04552689⟩

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