Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Vincent Gay-Bellile"'
Autor:
Amira Belhedi, Adrien Bartoli, Steve Bourgeois, Vincent Gay‐Bellile, Kamel Hamrouni, Patrick Sayd
Publikováno v:
IET Computer Vision, Vol 9, Iss 6, Pp 967-977 (2015)
Time‐of‐flight (TOF) sensors provide real‐time depth information at high frame‐rates. One issue with TOF sensors is the usual high level of noise (i.e. the depth measure's repeatability within a static setting). However, until now, TOF sensor
Externí odkaz:
https://doaj.org/article/9f438e75f1f04633bbda5c54c6524568
Publikováno v:
IEEE Robotics and Automation Letters
IEEE Robotics and Automation Letters, 2022, 7 (2), pp.952-959. ⟨10.1109/LRA.2021.3136241⟩
IEEE Robotics and Automation Letters, 2022, 7 (2), pp.952-959. ⟨10.1109/LRA.2021.3136241⟩
International audience
Publikováno v:
2022 IEEE 12th International Conference on Indoor Positioning and Indoor Navigation (IPIN).
Publikováno v:
Robotica. 39:277-290
SUMMARYThis paper introduces a new RGBD-Simultaneous Localization And Mapping (RGBD-SLAM) based on a revisited keyframe SLAM. This solution improves the localization by combining visual and depth data in a local bundle adjustment. Then, it presents a
Publikováno v:
3DV
Tightly coupled Visual-Inertial SLAM (VISLAM) algorithms are now state of the art approaches for indoor localization. There are many implementations of VISLAM, like filter-based and non-linear optimization based algorithms. They all require an accura
Publikováno v:
Machine Vision and Applications. 29:1041-1068
Accurate and real-time camera localization relative to an object is needed for high-quality Augmented Reality applications. However, static object tracking is not an easy task in an industrial context where objects may be textured or not, have sharp
Publikováno v:
IPIN
Monocular Visual-Inertial SLAM (VISLAM) algorithms are very popular solutions for accurate indoor localization. However, they may suffer from speed divergence when the system is at rest as illustrated on Figure 1. In this paper we propose to tackle t
Autor:
Vincent Gay-Bellile, Sylvie Naudet-Collette, Mohamed Tamaazousti, B. Besbes, Michel Dhome, Steve Bourgeois
Publikováno v:
Multimedia Tools and Applications. 75:9511-9547
This paper addresses the challenging issue of marker less tracking for Augmented Reality. It proposes a real-time camera localization in a partially known environment, i.e. for which a geometric 3D model of one static object in the scene is available
Publikováno v:
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2017, Vancouver, Canada. pp.1586-1593, ⟨10.1109/IROS.2017.8205966⟩
IROS
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2017, Vancouver, Canada. Institute of Electrical and Electronics Engineers Inc., 2017-September, pp.1586-1593, 2017, 〈10.1109/IROS.2017.8205966〉
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2017, Vancouver, United States. pp.1586-1593
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2017, Vancouver, Canada. pp.1586-1593, ⟨10.1109/IROS.2017.8205966⟩
IROS
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2017, Vancouver, Canada. Institute of Electrical and Electronics Engineers Inc., 2017-September, pp.1586-1593, 2017, 〈10.1109/IROS.2017.8205966〉
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Sep 2017, Vancouver, United States. pp.1586-1593
Conference of 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 ; Conference Date: 24 September 2017 Through 28 September 2017; Conference Code:133565; International audience; Constrained key-frame based local bundle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cff1c58e9a83c3a061a308571c1d4d50
https://hal-cea.archives-ouvertes.fr/cea-01813715
https://hal-cea.archives-ouvertes.fr/cea-01813715
Publikováno v:
2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN)
2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017
HAL
2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 2017
HAL
International audience; — In this paper, we focus on navigation in indoor environments using Visual SLAM (VSLAM). We propose an approach to suppress the known drifting issue of VSLAM and express its localization in building coordinate frame. It rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::35d1a46352a92b72e2f22ce5e0534f0b
https://hal-cea.archives-ouvertes.fr/cea-01830464/document
https://hal-cea.archives-ouvertes.fr/cea-01830464/document