(PREPRINT) MinkUNeXt: Point Cloud-based Large-scale Place Recognition using 3D Sparse Convolutions
J.J. Cabrera, A. Santo, A. Gil, C. Viegas and L. Payá
  (2024)
Ed. PREPRINT   [DOI]   [GitHub]   [ArXiv]   [Abstract]

(PREPRINT) TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
A. Santo, J. J. Cabrera, D. Valiente, C. Viegas, A. Gil
arXiv preprint arXiv:2406.01395  (2024)
  [DOI]   [GitHub]   [YouTube]   [ArXiv]   [BIBTEX]   [Abstract]

Detection of UAVs on a collision course using optical flow
J.J. Cabrera, A. Gil, L. Payá, A. Santo, O. Reinoso, D. Rodríguez
RobCE 2024: 2024 4th International Conference on Robotics and Control Engineering  (Edinburgh United Kingdom June 27 - 29, 2024) - pp. 138–144
Ed. Association for Computing Machinery  ISBN:9798400716782   [DOI]   [YouTube]   [BIBTEX]

Estimación de zonas transitables en nubes de puntos 3D con redes convolucionales dispersas
A. Santo, A. Gil, D. Valiente, M. Ballesta, O. Reinoso
XLIV Jornadas de Automática  (Zaragoza, 6-8 Septiembre, 2023) - pp. 732-737
Ed. CEA  ISBN:978-84-9749-860-9   [DOI]   [Document]

Computing the Traversability of the Environment by Means of Sparse Convolutional 3D Neural Networks
Antonio Santo, Arturo Gil, David Valiente, Mónica Ballesta, Adrián Peidró
Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics  (Roma, 13-15 de noviembre de 2023) - Vol. 1, pags. 383-393
Ed. Scitepress  ISBN:978-989-758-670-5  ISSN:2184-2809   [DOI]   [Abstract]   [Document]