Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Juan D. Tardós"'
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
Publikováno v:
IEEE Transactions on Robotics. 37:1874-1890
This paper presents ORB-SLAM3, the first system able to perform visual, visual-inertial and multi-map SLAM with monocular, stereo and RGB-D cameras, using pin-hole and fisheye lens models. The first main novelty is a feature-based tightly-integrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95dd7150827fe5ca4c45957171c52395
https://doi.org/10.1109/tro.2021.3075644
https://doi.org/10.1109/tro.2021.3075644
Publikováno v:
ROBOT2022: Fifth Iberian Robotics Conference ISBN: 9783031210648
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a065c7feb0b46ebceeb895f975148ad
https://doi.org/10.1007/978-3-031-21065-5_17
https://doi.org/10.1007/978-3-031-21065-5_17
Publikováno v:
ICRA
IEEE Inter. Conf. on Robotics and Automation
2021 IEEE International Conference on Robotics and Automation (ICRA)
IEEE Inter. Conf. on Robotics and Automation
2021 IEEE International Conference on Robotics and Automation (ICRA)
Conventional SLAM techniques strongly rely on scene rigidity to solve data association, ignoring dynamic parts of the scene. In this work we present Semi-Direct DefSLAM (SD-DefSLAM), a novel monocular deformable SLAM method able to map highly deformi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b6ce4c194b80115d9961849407fedb3
https://doi.org/10.1109/icra48506.2021.9561512
https://doi.org/10.1109/icra48506.2021.9561512
Publikováno v:
ICRA
We formulate for the first time visual-inertial initialization as an optimal estimation problem, in the sense of maximum-a-posteriori (MAP) estimation. This allows us to properly take into account IMU measurement uncertainty, which was neglected in p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccfd71ba64bccc968ee1ae78d8f65fc5
http://arxiv.org/abs/2003.05766
http://arxiv.org/abs/2003.05766
The assumption of scene rigidity is common in visual SLAM algorithms. However, it limits their applicability in populated real-world environments. Furthermore, most scenarios including autonomous driving, multi-robot collaboration and augmented/virtu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::521897611b87341add755b5a91faaac1
Autor:
Juan D. Tardós, Raul Mur-Artal
Publikováno v:
IEEE Transactions on Robotics. 33:1255-1262
We present ORB-SLAM2 a complete SLAM system for monocular, stereo and RGB-D cameras, including map reuse, loop closing and relocalization capabilities. The system works in real-time on standard CPUs in a wide variety of environments from small hand-h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13694d6c81416a392d7851553d142313
https://doi.org/10.1109/tro.2017.2705103
https://doi.org/10.1109/tro.2017.2705103
Autor:
Juan D. Tardós, Raul Mur-Artal
Publikováno v:
IEEE Robotics and Automation Letters. 2:796-803
In recent years there have been excellent results in Visual-Inertial Odometry techniques, which aim to compute the incremental motion of the sensor with high accuracy and robustness. However these approaches lack the capability to close loops, and tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55970e80d407c85cdbb9fe9800e1966b
https://doi.org/10.1109/lra.2017.2653359
https://doi.org/10.1109/lra.2017.2653359
Publikováno v:
IROS
We propose ORBSLAM-Atlas, a system able to handle an unlimited number of disconnected sub-maps, that includes a robust map merging algorithm able to detect sub-maps with common regions and seamlessly fuse them. The outstanding robustness and accuracy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3bb501bca153ab545d77bcc10139b6e7