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pro vyhledávání: '"Mennillo, Laurent"'
Autor:
Saikia, Alexander, Di Vece, Chiara, Bonilla, Sierra, He, Chloe, Magbagbeola, Morenike, Mennillo, Laurent, Czempiel, Tobias, Bano, Sophia, Stoyanov, Danail
Minimally invasive surgery (MIS) offers significant benefits such as reduced recovery time and minimised patient trauma, but poses challenges in visibility and access, making accurate 3D reconstruction a significant tool in surgical planning and navi
Externí odkaz:
http://arxiv.org/abs/2410.11703
Autor:
Das, Adrito, Sidiqi, Bilal, Mennillo, Laurent, Mao, Zhehua, Brudfors, Mikael, Xochicale, Miguel, Khan, Danyal Z., Newall, Nicola, Hanrahan, John G., Clarkson, Matthew J., Stoyanov, Danail, Marcus, Hani J., Bano, Sophia
Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective; labour-intensive; and requires domain specific expertise. Automated data driven metrics can alleviate these difficulties, as demonstrat
Externí odkaz:
http://arxiv.org/abs/2409.17025
Autor:
Bendkowski, Christopher, Mennillo, Laurent, Xu, Tao, Elsayed, Mohamed, Stojic, Filip, Edwards, Harrison, Zhang, Shuailong, Morshead, Cindi, Pawar, Vijay, Wheeler, Aaron R., Stoyanov, Danail, Shaw, Michael
Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structures (microrobots) across a photoconductive substrate. The microrobots
Externí odkaz:
http://arxiv.org/abs/2103.04912
Autor:
Mennillo, Laurent
Cette thèse a été réalisée dans le secteur de l'industrie automobile, en collaboration avec le Groupe Renault et concerne en particulier le développement de systèmes d'aide à la conduite avancés et de véhicules autonomes. Les progrès réal
Externí odkaz:
http://www.theses.fr/2019CLFAC022/document
Akademický článek
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Autor:
Mennillo, Laurent
Publikováno v:
Automatique / Robotique. Université Clermont Auvergne [2017-2020], 2019. Français. ⟨NNT : 2019CLFAC022⟩
This Ph.D. thesis, which has been carried out in the automotive industry in association with Renault Group, mainly focuses on the development of advanced driver-assistance systems and autonomous vehicles. The progress made by the scientific community
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5125cc7d508f2f327ff62716ed0bd796
https://tel.archives-ouvertes.fr/tel-02316022/file/2019CLFAC022_MENNILLO.pdf
https://tel.archives-ouvertes.fr/tel-02316022/file/2019CLFAC022_MENNILLO.pdf
Publikováno v:
[Research Report] LIGM-Laboratoire d'Informatique Gaspard-Monge. 2012
Original version.; In this article is compared the ability of several morphological operators to improve OCR performance when used as preprocessing filters. An experiment on binary and greyscale images using the Tesseract OCR engine and morphological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8500710785f42d561d5924935f38083d
https://hal.archives-ouvertes.fr/hal-00762631
https://hal.archives-ouvertes.fr/hal-00762631
Publikováno v:
Mathematical Morphology & Its Applications to Signal & Image Processing: 12th International Symposium, ISMM 2015, Reykjavik, Iceland, May 27-29, 2015. Proceedings; 2015, p134-145, 12p