Sensor Fusion for Augmented Reality

Author

Hol, J.D. ; Schön, T.B. ; Gustafsson, F. ; Slycke, P.J.

Author_Institution

Dept. of Electr. Eng., Linkoping Univ.

fYear

2006

fDate

10-13 July 2006

Firstpage

1

Lastpage

6

Abstract

In augmented reality (AR), the position and orientation of the camera have to be estimated with high accuracy and low latency. This nonlinear estimation problem is studied in the present paper. The proposed solution makes use of measurements from inertial sensors and computer vision. These measurements are fused using a Kalman filtering framework, incorporating a rather detailed model for the dynamics of the camera. Experiments show that the resulting filter provides good estimates of the camera motion, even during fast movements

Keywords

Kalman filters; augmented reality; computer vision; motion estimation; sensor fusion; AR; Kalman filtering; augmented reality; camera; computer vision; motion estimation; nonlinear estimation problem; orientation estimation; position estimation; sensor fusion; Acoustic sensors; Application software; Augmented reality; Cameras; Computer vision; Delay; Layout; Magnetic sensors; Sensor fusion; TV; Augmented Reality; Computer Vision; Inertial Navigation; Kalman Filter; Sensor fusion;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2006 9th International Conference on

Conference_Location

Florence

Print_ISBN

1-4244-0953-5

Electronic_ISBN

0-9721844-6-5

Type

conf

DOI

10.1109/ICIF.2006.301604

Filename

4085890