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An Integrated DGPS/IMU Positioning Approach

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Autonomous Intelligent Vehicles

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

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Abstract

In this chapter, a way of determining vehicles’ global and local positions is proposed, called integrated DGPS/IMU positioning approach. By using this approach, we build our navigation system. In our system, the observed data from DGPS is input of the GPS/IMU data fusion; IMU will provide localizing parameters even when DGPS does not work. In Sect. 7.1, a brief introduction to autonomous navigation and positioning sensors is described; Sect. 7.2 presents some related work on positioning systems, such as KF/EKF/UKF/PF techniques; Sect. 7.3 proposes an integrated DGPS/IMU positioning approach, including its framework and algorithms.

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Correspondence to Hong Cheng .

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Cheng, H. (2011). An Integrated DGPS/IMU Positioning Approach. In: Autonomous Intelligent Vehicles. Advances in Computer Vision and Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-4471-2280-7_7

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  • DOI: https://doi.org/10.1007/978-1-4471-2280-7_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2279-1

  • Online ISBN: 978-1-4471-2280-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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