Orientation tracking for outdoor augmented reality registration
- 1 January 1999
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Computer Graphics and Applications
- Vol. 19 (6), 36-42
- https://doi.org/10.1109/38.799738
Abstract
Our work stems from a program focused on developing tracking technologies for wide-area augmented realities in unprepared outdoor environments. Other participants in the Defense Advanced Research Projects Agency (Darpa) funded Geospatial Registration of Information for Dismounted Soldiers (Grids) program included University of North Carolina at Chapel Hill and Raytheon. We describe a hybrid orientation tracking system combining inertial sensors and computer vision. We exploit the complementary nature of these two sensing technologies to compensate for their respective weaknesses. Our multiple-sensor fusion is novel in augmented reality tracking systems, and the results demonstrate its utility.Keywords
This publication has 10 references indexed in Scilit:
- A motion-stabilized outdoor augmented reality systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Hybrid inertial and vision tracking for augmented reality registrationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Cognitive, performance, and systems issues for augmented reality applications in manufacturing and maintenancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Inertial navigation system for mobile land vehiclesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Natural feature tracking for augmented realityIEEE Transactions on Multimedia, 1999
- ConstellationPublished by Association for Computing Machinery (ACM) ,1998
- A Survey of Augmented RealityPRESENCE: Virtual and Augmented Reality, 1997
- Superior augmented reality registration by integrating landmark tracking and magnetic trackingPublished by Association for Computing Machinery (ACM) ,1996
- A parallel implementation of a multisensor feature-based range-estimation methodIEEE Transactions on Robotics and Automation, 1994
- A Survey of Position TrackersPRESENCE: Virtual and Augmented Reality, 1992