Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Soheilian, Bahman"'
Visual localization is a useful alternative to standard localization techniques. It works by utilizing cameras. In a typical scenario, features are extracted from captured images and compared with geo-referenced databases. Location information is the
Externí odkaz:
http://arxiv.org/abs/2005.03388
Autor:
Soheilian, Bahman
Malgré les récentes avancées des Systèmes de Cartographie Mobile, la reconstruction automatique d’objets à partir des données acquises est encore un point crucial. Dans cette thèse, nous nous intéresserons en particulier à la reconstructio
Externí odkaz:
http://www.theses.fr/2008PEST0260/document
Autor:
Hammoudi, Karim, Dornaika, Fadi, Soheilian, Bahman, Vallet, Bruno, McDonald, John, Paparoditis, Nicolas
Publikováno v:
International Journal of Advanced Robotic Systems, vol. 10, 10p., 2013
In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information. Particularly in dense urban environments, the hi
Externí odkaz:
http://arxiv.org/abs/1308.6401
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing June 2018 140:90-103
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing March 2013 77:1-20
Autor:
Hammoudi, Karim, Dornaika, Fadi, Soheilian, Bahman, Vallet, Bruno, McDonald, John, Paparoditis, Nicolas
Publikováno v:
In Procedia Engineering 2012 41:971-980
Publikováno v:
Multimedia Tools & Applications; Jun2021, Vol. 80 Issue 15, p22347-22372, 26p
Publikováno v:
Reconnaissance des Formes et Intelligence Artificielle (RFIA)
Reconnaissance des Formes et Intelligence Artificielle (RFIA), Jun 2016, Clermont-Ferrand, France
Reconnaissance des Formes et Intelligence Artificielle (RFIA), Jun 2016, Clermont-Ferrand, France
Precise localization in dense urban areas is a challenging task for both mobile mapping and driver assistance systems. This paper proposes a strategy to use road markings as localization landmarks for vision based systems. First step consists in reco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::843c50769a79364e43828f6280bad227
https://hal.archives-ouvertes.fr/hal-02551465
https://hal.archives-ouvertes.fr/hal-02551465
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Reconnaissance des Formes et Intelligence Artificielle
Reconnaissance des Formes et Intelligence Artificielle, Jan 2010, France. pp.1-8
Reconnaissance des Formes et Intelligence Artificielle, Jan 2010, France. pp.1-8
International audience; In this paper we present a robust algorithm for detection and recognition of road signs from color images. Our approach is based on matching models with geometric and radiometric panels. The general strategy consists of three
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4044d90822c6369e9ddee7ded22c7332
https://hal.archives-ouvertes.fr/hal-00717032/document
https://hal.archives-ouvertes.fr/hal-00717032/document