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Smart Localization Using a New Sensor Association Framework for Outdoor Augmented Reality Systems
Author(s) -
Fakhreddine Ababsa,
Imane Zendjebil,
Jean-Yves Didier,
Malik Mallem
Publication year - 2012
Publication title -
journal of robotics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.303
H-Index - 14
eISSN - 1687-9619
pISSN - 1687-9600
DOI - 10.1155/2012/634758
Subject(s) - augmented reality , computer science , computer vision , artificial intelligence , global positioning system , inertial measurement unit , tracking (education) , virtual reality , pose , computer graphics (images) , computer graphics , tracking system , kalman filter , psychology , telecommunications , pedagogy
Augmented Reality (AR) aims at enhancing our the real world, by adding fictitious elements that are not perceptible naturally such as: computer-generated images, virtual objects, texts, symbols, graphics, sounds, and smells. The quality of the real/virtual registration depends mainly on the accuracy of the 3D camera pose estimation. In this paper, we present an original real-time localization system for outdoor AR which combines three heterogeneous sensors: a camera, a GPS, and an inertial sensor. The proposed system is subdivided into two modules: the main module is vision based; it estimates the user’s location using a markerless tracking method. When the visual tracking fails, the system switches automatically to the secondary localization module composed of the GPS and the inertial sensor

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