Výsledky vyhledávání - "Bruce Canovas"

Akademický článek

Onboard dynamic RGB‐D simultaneous localization and mapping for mobile robot navigation

Autor: Bruce Canovas, Amaury Nègre, Michèle Rombaut

Publikováno v: ETRI Journal, Vol 43, Iss 4, Pp 617-629 (2021)

Although the actual visual simultaneous localization and mapping (SLAM) algorithms provide highly accurate tracking and mapping, most algorithms are too heavy to run live on embedded devices. In addition, the maps they produce are often unsuitable fo

Externí odkaz: https://doaj.org/article/2c523b94cbe14f42bf6b3af147e88e29

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Speed and Memory Efficient Dense RGB-D SLAM in Dynamic Scenes

Autor: Serge Olympieff, Michèle Rombaut, Bruce Canovas, Amaury Nègre, Denis Pellerin

Publikováno v: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IROS 2020-IEEE/RSJ International Conference on Intelligent Robots and Systems
IROS 2020-IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2020, Las Vegas, United States. pp.4996-5001, ⟨10.1109/IROS45743.2020.9341542⟩
IROS

International audience; Real-time dense 3D localization and mapping systems are required to enable robotics platforms to interact in and with their environments. Several solutions have used surfel representations to model the world. While they produc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a409959e353801309babecc36f72b4ea
https://hal.univ-grenoble-alpes.fr/hal-03143986/document

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A Coarse and Relevant 3D Representation for Fast and Lightweight RGB-D Mapping

Autor: Serge Olympieff, Michèle Rombaut, Bruce Canovas, Amaury Nègre, Denis Pellerin

Publikováno v: VISAPP 2019-14th International Conference on Computer Vision Theory and Applications
VISAPP 2019-14th International Conference on Computer Vision Theory and Applications, Feb 2019, Prague, Czech Republic
HAL
VISIGRAPP (5: VISAPP)

International audience; In this paper we present a novel lightweight and simple 3D representation for real-time dense 3D mapping of static environments with an RGB-D camera. Our approach builds and updates a low resolution 3D model of an observed sce

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f5e37d6b5a83a102e1606e59ee4c8c
https://hal.archives-ouvertes.fr/hal-02068740/document

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