Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Michel Dhome"'
Autor:
Ferdinand Monéger, Fabien Coutarel, Ladislav Moták, Patrick Chambres, Marie Izaute, Michel Dhome
Publikováno v:
Activités, Vol 15, Iss 1 (2018)
As part of an industrial project to design autonomous (driverless) shuttles, our research analyses the experiences and values of the supervisors, so as to identify their contribution to the acceptance of the shuttles and related services and to be ab
Externí odkaz:
https://doaj.org/article/4483030ace4f43989115c0dba42305bc
Publikováno v:
Multimedia Tools and Applications. 82:10145-10163
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01a2bba5ae20a29f804b42bffe7d0a8f
https://doi.org/10.1007/s11042-022-14297-7
https://doi.org/10.1007/s11042-022-14297-7
Publikováno v:
Multimedia Tools and Applications. 81:22449-22480
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35b1dc68e8da181fcd66fd6c53a3887b
https://doi.org/10.1007/s11042-021-11870-4
https://doi.org/10.1007/s11042-021-11870-4
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::492dba7d69a2efe63c156c870df46c29
https://doi.org/10.1017/s0263574720000363
https://doi.org/10.1017/s0263574720000363
Publikováno v:
Computational Collective Intelligence ISBN: 9783031160134
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff2d4b1b23eae937412ddece3ebaf136
https://doi.org/10.1007/978-3-031-16014-1_34
https://doi.org/10.1007/978-3-031-16014-1_34
Publikováno v:
Neural Computing and Applications
Neural Computing and Applications, 2021, ⟨10.1007/s00521-021-06087-3⟩
Neural Computing and Applications, Springer Verlag, 2021, ⟨10.1007/s00521-021-06087-3⟩
Neural Computing and Applications, 2021, ⟨10.1007/s00521-021-06087-3⟩
Neural Computing and Applications, Springer Verlag, 2021, ⟨10.1007/s00521-021-06087-3⟩
International audience; Content Based Image Retrieval (CBIR) is the task of finding images in a database that are the most similar to the input query based on its visual characteristics. Several methods from the state of the art based on visual metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae26e0bc7c8a689298a7d14215a47a42
https://hal.uca.fr/hal-03388665/file/Leveraging_semantic_segmentation_for_hybrid_image_retrieval_methods.pdf
https://hal.uca.fr/hal-03388665/file/Leveraging_semantic_segmentation_for_hybrid_image_retrieval_methods.pdf
Publikováno v:
2021 IEEE 19th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
Appearance changes are a challenge for visual localization in outdoor environments. Revisiting familiar places but retrieving keyframes that were taken under different environmental condition can result in inaccurate localization. To overcome this di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2deab9230c65c0d1f7c394ed14305a9f
https://doi.org/10.1109/sami50585.2021.9378614
https://doi.org/10.1109/sami50585.2021.9378614
Publikováno v:
Intelligent Decision Technologies ISBN: 9789811627644
KES-IDT
KES-IDT
Content-based image retrieval (CBIR) is the task of finding the images in the dataset that are considered similar to an input query based on their visual content. Many methods based on visual description try to solve the CBIR problem. In particular,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::952dfac29fe3952e8e9e8c6ad60c0ef2
https://doi.org/10.1007/978-981-16-2765-1_18
https://doi.org/10.1007/978-981-16-2765-1_18
Publikováno v:
ICINCO
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::590d53c984abc9d8ef9eac85a54f65fa
https://doi.org/10.5220/0010518303830387
https://doi.org/10.5220/0010518303830387
Publikováno v:
VCIP
VCIP, Dec 2020, MACAO, China
VCIP, Dec 2020, MACAO, China
International audience; This paper addresses the problem of image based localization. The goal is to find quickly and accurately the relative pose from a query taken from a stereo camera and a map obtained using visual SLAM which contains poses and 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb47ad4dd7f73effbb41978979708560
https://doi.org/10.1109/vcip49819.2020.9301831
https://doi.org/10.1109/vcip49819.2020.9301831