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pro vyhledávání: '"Kurdej, Marek"'
Autor:
Kurdej, Marek
La plupart des logiciels contrôlant les véhicules intelligents traite de la compréhension de la scène. De nombreuses méthodes existent actuellement pour percevoir les obstacles de façon automatique. La majorité d’entre elles emploie ainsi le
Externí odkaz:
http://www.theses.fr/2015COMP2174/document
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems. 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Tokyo : Japan (2013)
Evidential grids have recently shown interesting properties for mobile object perception. Evidential grids are a generalisation of Bayesian occupancy grids using Dempster- Shafer theory. In particular, these grids can handle efficiently partial infor
Externí odkaz:
http://arxiv.org/abs/1401.5657
Autor:
Kurdej, Marek, Cherfaoui, Véronique
Publikováno v:
16th International Conference on Information Fusion, Istanbul : Turkey (2013)
Information discounting plays an important role in the theory of belief functions and, generally, in information fusion. Nevertheless, neither classical uniform discounting nor contextual cannot model certain use cases, notably temporal discounting.
Externí odkaz:
http://arxiv.org/abs/1312.5515
Publikováno v:
The 2nd International Conference on Belief Functions, Compi\`egne : France (2012)
Evidential grids have been recently used for mobile object perception. The novelty of this article is to propose a perception scheme using prior map knowledge. A geographic map is considered an additional source of information fused with a grid repre
Externí odkaz:
http://arxiv.org/abs/1207.1016
Publikováno v:
In International Journal of Approximate Reasoning January 2014 55(1) Part 3:355-375
Autor:
Kurdej, Marek
Publikováno v:
Other. Université de Technologie de Compiègne, 2015. English. ⟨NNT : 2015COMP2174⟩
This thesis is situated in the domains of robotics and data fusion, and concerns geographic information systems. We study the utility of adding digital maps, which model the urban environment in which the vehicle evolves, as a virtual sensor improvin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a5658a14894bd469cf9fe107045c927c
https://tel.archives-ouvertes.fr/tel-01186735/document
https://tel.archives-ouvertes.fr/tel-01186735/document
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Nov 2013, Tokyo, Japan. pp.1-6
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013). 5th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, Nov 2013, Tokyo, Japan. pp.1-6
Evidential grids have recently shown interesting properties for mobile object perception. Evidential grids are a generalisation of Bayesian occupancy grids using Dempster- Shafer theory. In particular, these grids can handle efficiently partial infor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bca164a91b87dac2bd76b166082d2e7
https://hal.archives-ouvertes.fr/hal-00934590/document
https://hal.archives-ouvertes.fr/hal-00934590/document
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