Cargando…
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...
Autores principales: | Roux, Alicia, Changey, Sébastien, Weber, Jonathan, Lauffenburger, Jean-Philippe |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
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 |
Ejemplares similares
-
Obtaining World Coordinate Information of UAV in GNSS Denied Environments
por: Chen, Chengbin, et al.
Publicado: (2020) -
Airspeed-Aided State Estimation Algorithm of Small Fixed-Wing UAVs in GNSS-Denied Environments
por: Ye, Xiaoyu, et al.
Publicado: (2022) -
A Gyroless Algorithm with Multi-Hypothesis Initialization for Projectile Navigation
por: Jardak, Nabil, et al.
Publicado: (2021) -
Lane Detection Aided Online Dead Reckoning for GNSS Denied Environments
por: Jeon, Jinhwan, et al.
Publicado: (2021) -
Optical and Mass Flow Sensors for Aiding Vehicle Navigation in GNSS Denied Environment
por: Moussa, Mohamed, et al.
Publicado: (2020)