LSTM-Based Projectile Trajectory Estimation in a GNSS-Denied Environment †

This paper presents a deep learning approach to estimate a projectile trajectory in a GNSS-denied environment. For this purpose, Long-Short-Term-Memories (LSTMs) are trained on projectile fire simulations. The network inputs are the embedded Inertial Measurement Unit (IMU) data, the magnetic field r...

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Detalles Bibliográficos
Autores principales: Roux, Alicia, Changey, Sébastien, Weber, Jonathan, Lauffenburger, Jean-Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051229/
https://www.ncbi.nlm.nih.gov/pubmed/36991737
http://dx.doi.org/10.3390/s23063025

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10051229/
https://www.ncbi.nlm.nih.gov/pubmed/36991737
http://dx.doi.org/10.3390/s23063025

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