Generalized architecture for simultaneous localization, auto-calibration, and map-building
- 25 June 2003
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 527-533
- https://doi.org/10.1109/irds.2002.1041444
Abstract
This paper discusses the design of a very general architectural framework for navigation and tracking systems that fuse dead-reckoning sensors (e.g. inertial or encoders) with environment-referenced sensors, such as ultrasonic, optical, magnetic, or RF sensors. The framework enables systems that simultaneously track themselves, construct a map of landmarks in the environment, and calibrate sensor intrinsic and extrinsic parameters. The goals of the architecture are to permit easy configuration of numerous sensor combinations including IMUs, GPS, range sensors, inside-out bearing sensors, outside- in bearing sensors, etc., and to provide compatibility with multiple sensor networking standards, distributed sensor fusion algorithms, and implementation strategies. A decentralized Kalman filter based on Carlson's Federated filter algorithm is used to decouple the auto-mapping, auto-calibration and navigation filters to produce a more flexible and modular architecture.Keywords
This publication has 6 references indexed in Scilit:
- Circular data matrix fiducial system and robust image processing for a wearable vision-inertial self-trackerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Building a global map of the environment of a mobile robot: the importance of correlationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Optimization of the simultaneous localization and map-building algorithm for real-time implementationIEEE Transactions on Robotics and Automation, 2001
- A generalized approach to the problem of distributed Kalman filteringPublished by American Institute of Aeronautics and Astronautics (AIAA) ,1998
- A sub-optimal algorithm for automatic map buildingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- A non-divergent estimation algorithm in the presence of unknown correlationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997