The DOI matches its Crossref record.
Integration of GPS and Dead-Reckoning Navigation Systems
Abstract
Recent developments of the second generation automotive navigation and route guidance systems have posed more restrictive requirements for vehicle positioning accuracy. Only after accurate current vehicle locations are available can appropriate maneuver instructions be generated from the route guidance algorithm. Dead-reckoning systems and GPS are two commonly used techniques for vehicle navigation systems. While both methods suffer from different drawbacks, superior performance can be obtained by combining these two techniques. In this paper we present a vehicle positioning system that integrates both the GPS and the dead-reckoning method. This system uses the GPS signals to adaptively calibrate the dead-reckoning sensors as well as to “rescue” the system from unexpected position errors. On the other hand, the dead-reckoning method, through the use of map-matching algorithm, provides feedbacks for calibrating the GPS position errors. Experimental results using the ZEXEL NavMate Navigation and Route Guidance System demonstrate the effectiveness of the integrated positioning system.
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“GPS-IMU systems by themselves cannot be used for vehicle localization as they do not meet the performance criteria [111].”
From A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2020) · cites this paper as [111]
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No references could be resolved yet.
Research works printed but not linked: 16
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- Karimi H. A. Krakiwsky E. J. Design concepts for knowledge-based route guidance systems IEEE Position Location and Navigation Symposium 95 103 Orlando, Florida November 29 December 2 1988 · DOI
- Krakiwsky E. J. Harris C. B. Wong R. V. C. A kalman filter for integration of dead reckoning, map matching, and GPS positioning IEEE Position Location and Navigation Symposium 39 46 Orlando, Florida November 29 December 2 1988 · DOI
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- Marsh D. C. Database design, development, and access considerations for automotive navigation Vehicle Navigation and Information System (VNIS) Conference Toronto, Canada September 1989
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- Morisue F. Ikeda K. Evaluation of map-matching techniques Vehicle Navigation and Information System (VNIS) Conference Toronto, Canada September 1989
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Cited by
Sorted by citations
A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Yurtsever, E., Lambert, J., Carballo, A., & Takeda, K. (2020) · IEEE Access · doi:10.1109/access.2020.2983149 · Cited by 1,889
“There is a significant drawback of IMU, and in general dead reckoning though, errors accumulate with time and often leads to failure in long-term operations [108].”
Background
Metadata
- Authors
- Kao, W.-W.
- Corresponding author
- Kao, Wei-Wen
- Venue
- SAE Technical Paper Series
- Publisher
- SAE International
- Published
- 1991-10-01
- Volume
- 1
- ISSN
- 0148-7191 (ISSN-L)
- 2688-3627
- OpenAlex
- W1557364455
- Cited by
- 108
- References
- 0
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 4 · 2022: 3 · 2021: 7 · 2020: 5 · 2019: 3 · 2018: 3 · 2017: 2 · 2016: 4 · 2015: 1 · 2014: 5 · 2013: 4 · 2012: 10
- FWCI
- 2.81
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- SAE technical papers on CD-ROM/SAE technical paper series (publishedVersion)
- Topics
- Physical Sciences › Engineering › Aerospace Engineering › Inertial Sensor and Navigation
- Physical Sciences › Engineering › Aerospace Engineering › GNSS positioning and interference
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Keywords
- GPS, dead reckoning, vehicle localization, sensor fusion, map matching, route guidance, vehicle navigation, position error compensation
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