M. Zoric < Maan El Badaoui El Najjar < Maarten De Rijke

Facettes : Author.f

List of bibliographic references

Number of relevant bibliographic references: 24.
[0-20] [0 - 20][0 - 24][20-23][20-40]

Ident.	Authors (with country if any)	Title
000260 (2014-06)	Cherif Smaili ; Maan El Badaoui El Najjar ; François Charpillet	A Hybrid Bayesian Framework for Map Matching: Formulation Using Switching Kalman Filter
000812 (2009-06-22)	Jing Peng ; Maan El Badaoui El Najjar ; Cindy Cappelle ; Denis Pomorski ; François Charpillet ; Abdallah Deeb	A novel geo-localisation method using GPS, 3D-GIS and Laser scanner for intelligent vehicle navigation in urban areas
000934 (2008)	Cherif Smaili ; François Charpillet ; Maan El Badaoui El Najjar	A road matching method for precise vehicle localization using hybrid Bayesian network
002261 (2012)	Maan El Badaoui El Najjar ; Cherif Smaili ; François Charpillet ; Denis Pomorski ; Mireille Bayart	Fault-tolerant Data-fusion Method: Application on Platoon Vehicle Localization
002615 (2008-09-22)	Cindy Cappelle ; Maan El Badaoui El Najjar ; Denis Pomorski ; François Charpillet	Geo-localization in urban areas based on virtual 3D city model and vision
002B82 (2010)	Cindy Cappelle ; Maan El Badaoui El Najjar ; Denis Pomorski ; François Charpillet	Intelligent Geolocalization in Urban Areas Using Global Positioning Systems, Three-Dimensional Geographic Information Systems, and Vision
002B86 (2005-07-04)	Maan El Badaoui El Najjar ; Philippe Bonnifait	Intelligent Vehicle Absolute Localisation using GIS Information : A Data Fusion Approach
002B89 (2010)	Cindy Cappelle ; Maan El Badaoui El Najjar ; Denis Pomorski ; François Charpillet	Intelligent geo-localisation in urban areas using global positioning systems, 3dimensional geographic information systems, and vision
002F55 (2007-06-14)	Cindy Cappelle ; Maan El Badaoui El Najjar ; Denis Pomorski ; François Charpillet	Localisation in urban environment using GPS and INS aided by monocular vision system and 3D geographical model
003386 (2007-10-29)	Cherif Smaili ; Maan El Badaoui El Najjar ; François Charpillet	Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
003426 (2008-10-12)	Cherif Smaili ; François Charpillet ; Maan El Badaoui El Najjar	Multi-sensor Fusion Method Using Bayesian Network for Precise Multi-vehicle Localization
003427 (2008)	Cherif Smaili ; François Charpillet ; Maan El Badaoui El Najjar ; Cédric Rose	Multi-sensor fusion for mono and multi-vehicle localization using Bayesian network
003428 (2008-07-01)	Cindy Cappelle ; Maan El Badaoui El Najjar ; Denis Pomorski ; François Charpillet	Multi-sensors data fusion using dynamic bayesian network for robotised vehicle geo-localisation
003478 (2008)	Cindy Cappelle ; Maan El Badaoui El Najjar ; Denis Pomorski ; François Charpillet	Multisensor data fusion for geolocalisation in urban areas
003653 (2008-05-19)	Cindy Cappelle ; Maan El Badaoui El Najjar ; François Charpillet ; Denis Pomorski	Obstacle detection and localization method based on 3D model: distance validation with Ladar
003654 (2007-09-30)	Cindy Cappelle ; Maan El Badaoui El Najjar ; François Charpillet ; Denis Pomorski	Obstacles detection and localisation with 3D geographical model and monovision
003A23 (2007-10-30)	Cindy Cappelle ; Maan El Badaoui El Najjar ; François Charpillet ; Denis Pomorski	Outdoor Obstacle Detection and Localisation with Monovision and 3D Geographical Database
004E78 (2015-09-16)	Mohamad Daher ; Maan El Badaoui El Najjar ; Ahmad Diab ; Mohamad Khalil ; François Charpillet	Towards a usable and an efficient elder fall detection system
004E89 (2005-04-18)	Maan El Badaoui El Najjar ; Philippe Bonnifait	Towards an estimate of Confidence in a Road-Matched Location
005277 (2011-06-10)	Cindy Cappelle ; Maan El Badaoui El Najjar ; François Charpillet ; Denis Pormski	Virtual 3D City Model for Navigation in Urban Areas
005A83 (2008-09-03)	Cindy Cappelle ; Maan El Badaoui El Najjar ; Denis Pomorski ; François Charpillet	Détection, suivi et géo-localisation d'obstacles à l'aide d'un modèle 3D géo-référencé, une caméra et un GPS : validation avec un lidar

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