Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Eduardo Fernandez-Moral"'
Autor:
Eduardo Fernandez-Moral
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 14, Iss 3 (2015)
This thesis addresses the problem of localization and mapping in mobile robotics. The ability of a robot to build a map of an unknown environment from sensory information is required to perform self-localization and autonomous navigation, as a necess
Externí odkaz:
https://doaj.org/article/5f7a92b77cfb4dc198294d05395cf761
Publikováno v:
RFIAP 2018, Reconnaissance des Formes, Image, Apprentissage et Perception
RFIAP 2018, Reconnaissance des Formes, Image, Apprentissage et Perception, Jun 2018, Marne la Vallée, France
HAL
RFIAP 2018, Reconnaissance des Formes, Image, Apprentissage et Perception, Jun 2018, Marne la Vallée, France
HAL
International audience; Dans cet article nous présentons un cadre entièrement au-tomatique pour la reconstruction d'un maillage, sa textu-ration et sa sémantisation à large échelle à partir de scans LiDAR et d'images orientées de scènes urbai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::185c14ba7dca0f6ea6d795f38ffff78b
https://hal.science/hal-02552591/document
https://hal.science/hal-02552591/document
Autor:
Gonzalo López-Nicolás, Alejandro Perez-Yus, Eduardo Fernandez-Moral, José Jesús Guerrero, Patrick Rives
Publikováno v:
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters, 2018, 3 (1), pp.273-280. ⟨10.1109/LRA.2017.2739104⟩
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
IEEE Robotics and Automation Letters, IEEE 2018, 3 (1), pp.273-280. ⟨10.1109/LRA.2017.2739104⟩
IEEE Robotics and Automation Letters, IEEE 2018, 3 (1), pp.273-280. 〈10.1109/LRA.2017.2739104〉
IEEE Robotics and Automation Letters, 2018, 3 (1), pp.273-280. ⟨10.1109/LRA.2017.2739104⟩
Zaguán. Repositorio Digital de la Universidad de Zaragoza
instname
IEEE Robotics and Automation Letters, IEEE 2018, 3 (1), pp.273-280. ⟨10.1109/LRA.2017.2739104⟩
IEEE Robotics and Automation Letters, IEEE 2018, 3 (1), pp.273-280. 〈10.1109/LRA.2017.2739104〉
This letter presents a novel method to estimate the relative poses between RGB and depth cameras without the requirement of an overlapping field of view, thus providing flexibility to calibrate a variety of sensor configurations. This calibration pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b840ce9e3de910e43e955a07bb205be
https://hal.inria.fr/hal-01581523
https://hal.inria.fr/hal-01581523
Publikováno v:
Workshop on Planning, Perception and Navigation for Intelligent Vehicles, PPNIV17
Workshop on Planning, Perception and Navigation for Intelligent Vehicles, PPNIV17, Sep 2017, Vancouver, Canada
Intelligent Vehicles Symposium
Workshop on Planning, Perception and Navigation for Intelligent Vehicles, PPNIV17, Sep 2017, Vancouver, Canada
Intelligent Vehicles Symposium
International audience; Semantic segmentation of images is an important problem for mobile robotics and autonomous driving because it offers basic information which can be used for complex reasoning and safe navigation. Different solutions have been
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c60bef9721b2ed596c2994875084645
https://inria.hal.science/hal-01581525/document
https://inria.hal.science/hal-01581525/document
An Efficient Rotation and Translation Decoupled Initialization from Large Field of View Depth Images
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'17
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'17, Sep 2017, Vancouver, Canada. pp.5750-5755
IROS
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'17, Sep 2017, Vancouver, Canada. pp.5750-5755
IROS
International audience; Image and point cloud registration methods compute the relative pose between two images. Commonly used registration algorithms are iterative and rely on the assumption that the motion between the images is small. In this work,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6d1c655c27813404f0e9670daae2815
https://hal.inria.fr/hal-01581524/file/iros17_CR.pdf
https://hal.inria.fr/hal-01581524/file/iros17_CR.pdf
Publikováno v:
Robotics and Autonomous Systems
Robotics and Autonomous Systems, 2016, 75 (B), pp.649-660. ⟨10.1016/j.robot.2015.09.009⟩
Robotics and Autonomous Systems, Elsevier, 2016, 75 (B), pp.649-660. ⟨10.1016/j.robot.2015.09.009⟩
Robotics and Autonomous Systems, 2016, 75 (B), pp.649-660. ⟨10.1016/j.robot.2015.09.009⟩
Robotics and Autonomous Systems, Elsevier, 2016, 75 (B), pp.649-660. ⟨10.1016/j.robot.2015.09.009⟩
Image registration, and more generally scene registration, needs to be solved in mobile robotics for a number of tasks including localization, mapping, object recognition, visual odometry and loop-closure. This paper presents a flexible strategy to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04b6ee1a781c1a8ccc546fd32b19746f
https://inria.hal.science/hal-01237845/document
https://inria.hal.science/hal-01237845/document
Publikováno v:
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'15
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'15, Sep 2015, Hamburg, Germany
IROS
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'15, Sep 2015, Hamburg, Germany
IROS
International audience; — This paper presents a methodology to combine information from a sequence of RGB-D spherical views acquired by a home-made multi-stereo device in order to improve the computed depth images both in terms of accuracy and comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::603197072237708aeb5641eb1035efdc
https://hal.inria.fr/hal-01237848
https://hal.inria.fr/hal-01237848
Publikováno v:
ICRA
Robots are often equipped with 2D laser-rangefinders (LRFs) and cameras since they complement well to each other. In order to correctly combine measurements from both sensors, it is required to know their relative pose, that is, to solve their extrin
Publikováno v:
ICRA
The integration of several 2D laser rangefinders in a vehicle is a common resource employed for 3D mapping, obstacle detection and navigation. The extrinsic calibration between such sensors (i.e. finding their relative poses) is required to exploit e
Publikováno v:
Informatics in Control, Automation and Robotics ISBN: 9783319108902
Simultaneous Localization and Mapping (SLAM) is a central problem for autonomous mobile robotics. Monocular SLAM is one of the ways to tackle the problem, where the only input information are the images from a moving camera. Current approaches for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::108b643bfe7d099f0ee6ee9e3946221a
https://doi.org/10.1007/978-3-319-10891-9_12
https://doi.org/10.1007/978-3-319-10891-9_12