The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Position estimation for a mobile robot using vision and odometry
Abstract
The authors describe a method for locating a mobile robot moving in a known environment. This technique combines position estimation from odometry with observations of the environment from a mobile camera. Fixed objects in the world provide landmarks which are listed in a database. The system calculates the angle to each landmark and then orients the camera. An extended Kalman filter is used to correct the error between the observed and estimated angle to each landmark. Results from experiments in a real environment are presented.>
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Citations
Cites
Mobile robot localization by tracking geometric beacons
Leonard, J. J., & Durrant-Whyte, H. F. (1991) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.88147 · Cited by 1,245
Cited by
Mobile robot positioning: Sensors and techniques
Borenstein, J., Everett, H. R., Feng, L., & Wehe, D. (1997) · Journal of Robotic Systems · doi:10.1002/(sici)1097-4563(199704)14:4<231::aid-rob2>3.0.co;2-r · Cited by 601
Mobile robot localization using landmarks
Betke, M., & Gurvits, L. (1997) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.563647 · Cited by 508
Land-vehicle navigation using GPS
Abbott, E., & Powell, D. (1999) · Proceedings of the IEEE · doi:10.1109/5.736347 · Cited by 323
A sensor fusion approach for localization with cumulative error elimination
Zhang, F., Stahle, H., Chen, G., Simon, C. C. C., Buckl, C., & Knoll, A. (2012) · 2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) · doi:10.1109/mfi.2012.6343009 · Cited by 45
Metadata
- Authors
- Chenavier, F., & Crowley, J. L.
- Venue
- Proceedings 1992 IEEE International Conference on Robotics and Automation
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2003-01-02
- Pages
- 2588-2593
- ISSN
- 1050-4729 (ISSN-L)
- OpenAlex
- W1821262254
- Cited by
- 243
- References
- 1
- FWCI
- 28.87
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Chenavier, F., & Crowley, J. L. (2003). Position estimation for a mobile robot using vision and odometry. Proceedings 1992 IEEE International Conference on Robotics and Automation. https://doi.org/10.1109/robot.1992.220052
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
