Toward an Inertial/Vision Sensor Calibration for Outdoor Augmented Reality Applications
Résumé
In mobile outdoor augmented reality applications, accurate localization is critical to register virtual augmentations over a real scene. Vision-based approaches provide accurate localization estimates but still too sensitive to environmental conditions (change in brightness, sudden motion, occlusions, etc). This main drawback can be overcome by adding other types of sensors. In this paper, we combine a camera with an inertial sensor to estimate continuously the camera's orientation. The accuracy of this hybrid sensor depends on the accuracy of the calibration process that determines the relationship between the two sensors. This relationship allows expressing the orientation provided by the inertial sensor with respect to the camera coordinate system. The proposed method is simple, fast and accurate. Experimental results on real data are presented.