The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Land-vehicle navigation using GPS
Abstract
The Global Positioning System (GPS) has made navigation systems practical for a number of land-vehicle navigation applications. Today, GPS-based navigation systems can be found in motor vehicles, farming and mining equipment, and a variety of other land-based vehicles (e.g., golf carts and mobile robots). Each of these applications is discussed and the reader is introduced to some of the issues involved with each one. One particular technical aspect of navigation for land vehicles is discussed. Specifically, the research discussed in this paper presents a quantitative examination of the impact that individual navigation sensors have on the perfomance of a land-vehicle navigation system. A range of navigation sensor performance levels and their influence on vehicle positioning accuracy are examined. Results show that, for a typical navigation system, positioning error is dominated by the accuracy of the position fixes provided by the GPS receiver when GPS position fixes are available and by the rate gyro's bias drift when GPS position fixes are not available. Furthermore, results show that the accuracy of the GPS position fixes has a significant impact on the relative contributions that each dead-reckoning navigation sensor error makes. The implications of these results for navigation system design and sensor design are discussed.
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Citations
Cites
GELB, A. (1974) · CERN Document Server (European Organization for Nuclear Research) · Cited by 6,405
Global Positioning System: Theory and Applications, Volume II
(1996) · American Institute of Aeronautics and Astronautics eBooks · doi:10.2514/4.866395 · Cited by 1,371
Inertial navigation systems for mobile robots
Barshan, B., & Durrant-Whyte, H. F. (1995) · IEEE Transactions on Robotics and Automation · doi:10.1109/70.388775 · Cited by 723
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Position estimation for a mobile robot using vision and odometry
Chenavier, F., & Crowley, J. L. (2003) · Proceedings 1992 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1992.220052 · Cited by 243
Söderkvist, J. (1994) · Sensors and Actuators A: Physical · doi:10.1016/0924-4247(93)00667-s · Cited by 189
A dead reckoning/map correlation system for automatic vehicle tracking
Lezniak, T. W., Lewis, R. W., & Mc, R. A. (1977) · IEEE Transactions on Vehicular Technology · doi:10.1109/t-vt.1977.23656 · Cited by 34
Cited by
Estimating Three-Dimensional Orientation of Human Body Parts by Inertial/Magnetic Sensing
Sabatini, A. M. (2011) · Sensors · doi:10.3390/s110201489 · Cited by 349
Survey of computer vision algorithms and applications for unmanned aerial vehicles
Al-Kaff, A., Martín, D., García, F., Escalera, A. D. L., & María Armingol, J. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2017.09.033 · Cited by 246
Metadata
- Authors
- Abbott, E., & Powell, D.
- Venue
- Proceedings of the IEEE
- Published
- 1999
- Volume
- 87
- Issue
- 1
- Pages
- 145-162
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2153532417
- Cited by
- 323
- References
- 7
- FWCI
- 23.95
- Type
- journal article
- Language
- en
- Open access
- closed
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- Abbott, E., & Powell, D. (1999). Land-vehicle navigation using GPS. Proceedings of the IEEE. https://doi.org/10.1109/5.736347
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
