Výsledky vyhledávání - "Martín, Álvaro"

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Test-Time Adaptation for Keypoint-Based Spacecraft Pose Estimation Based on Predicted-View Synthesis

Autor: Pérez-Villar, Juan Ignacio Bravo, García-Martín, Álvaro, Bescós, Jesús, SanMiguel, Juan C.

Publikováno v: IEEE Transactions on Aerospace and Electronic Systems (2024)

Due to the difficulty of replicating the real conditions during training, supervised algorithms for spacecraft pose estimation experience a drop in performance when trained on synthetic data and applied to real operational data. To address this issue

Externí odkaz: http://arxiv.org/abs/2410.04298

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SPIN: Spacecraft Imagery for Navigation

Autor: Montalvo, Javier, Pérez-Villar, Juan Ignacio Bravo, García-Martín, Álvaro, Carballeira, Pablo, Besc'os, Jesús

Data acquired in space operational conditions is scarce due to the costs and complexity of space operations. This poses a challenge to learning-based visual-based navigation algorithms employed in autonomous spacecraft navigation. Existing datasets,

Externí odkaz: http://arxiv.org/abs/2406.07500

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Akademický článek

TECHNOLOGICAL AND VERIFICATION TRAINING IN THE SPANISH MEDIA: The Case of Directors and Department Heads.

Autor: LÓPEZ-MARTÍN, ÁLVARO¹

Publikováno v: Visual Review. 2024, Vol. 16 Issue 4, p1-14. 14p.

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Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss Combination

Autor: Pérez-Villar, Juan Ignacio Bravo, García-Martín, Álvaro, Bescós, Jesús

Spacecraft pose estimation is a key task to enable space missions in which two spacecrafts must navigate around each other. Current state-of-the-art algorithms for pose estimation employ data-driven techniques. However, there is an absence of real tr

Externí odkaz: http://arxiv.org/abs/2212.13415

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