Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Javier Civera"'
Autor:
Pablo Azagra, Carlos Sostres, Ángel Ferrández, Luis Riazuelo, Clara Tomasini, O. León Barbed, Javier Morlana, David Recasens, Víctor M. Batlle, Juan J. Gómez-Rodríguez, Richard Elvira, Julia López, Cristina Oriol, Javier Civera, Juan D. Tardós, Ana C. Murillo, Angel Lanas, José M. M. Montiel
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-16 (2023)
Abstract Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and navigation of the endoscope are completely performed manuall
Externí odkaz:
https://doaj.org/article/fac3a3a3876f4fa0b4a6511e7bb1ff1a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Mobile robots should be aware of their situation, comprising the deep understanding of their surrounding environment along with the estimation of its own state, to successfully make intelligent decisions and execute tasks autonomously in real environ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93897145d105bc81f636d38269439df4
http://arxiv.org/abs/2202.12197
http://arxiv.org/abs/2202.12197
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164361
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3f715261a61fcddd0c5ca1879692488
https://doi.org/10.1007/978-3-031-16437-8_13
https://doi.org/10.1007/978-3-031-16437-8_13
Publikováno v:
IEEE Robotics and Automation Letters
Vallone, A, Warburg, F, Hansen, H, Hauberg, S & Civera, J 2022, ' Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization ', IEEE Robotics and Automation Letters, vol. 7, no. 4, 9811266, pp. 9207-9215 . https://doi.org/10.1109/LRA.2022.3187491
Vallone, A, Warburg, F, Hansen, H, Hauberg, S & Civera, J 2022, ' Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization ', IEEE Robotics and Automation Letters, vol. 7, no. 4, 9811266, pp. 9207-9215 . https://doi.org/10.1109/LRA.2022.3187491
Place recognition and visual localization are particularly challenging in wide baseline configurations. In this paper, we contribute with the \emph{Danish Airs and Grounds} (DAG) dataset, a large collection of street-level and aerial images targeting
Autor:
Javier Civera, Javier Tirado
In this paper we propose a method that estimates the $SE(3)$ continuous trajectories (orientation and translation) of the dynamic rigid objects present in a scene, from multiple RGB-D views. Specifically, we fit the object trajectories to cumulative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa959a1fbb0e80b5b69d02a6b4eac248
Autor:
Javier Civera, Clara Fernandez-Labrador, Alejandro Perez-Yus, José M. Fácil, José Jesús Guerrero, Cédric Demonceaux
Publikováno v:
IEEE Robotics and Automation Letters. 5:1255-1262
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among the most relevant ones, a major part of the state-of-the-art methods ma
Autor:
Seong Hun Lee, Javier Civera
We propose a novel hierarchical approach for multiple rotation averaging, dubbed HARA. Our method incrementally initializes the rotation graph based on a hierarchy of triplet support. The key idea is to build a spanning tree by prioritizing the edges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c4580d8c836b1c3509972b6ea01f663
http://arxiv.org/abs/2111.08831
http://arxiv.org/abs/2111.08831
Autor:
Javier Civera, Seong Hun Lee
Publikováno v:
IEEE Robotics and Automation Letters. 4:399-406
We propose a novel semi-direct approach for monocular simultaneous localization and mapping (SLAM) that combines the complementary strengths of direct and feature-based methods. The proposed pipeline loosely couples direct odometry and feature-based