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    An Integrated DGPS/IMU Positioning Approach

    An Integrated DGPS/IMU Positioning Approach


    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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    Title :

    An Integrated DGPS/IMU Positioning Approach

    Contributors:
    Prof. Cheng, Hong (author)
    Published in:

    Autonomous Intelligent Vehicles ; 99-107

    Advances in Computer Vision and Pattern Recognition

    Publication date :

    2011-01-01

    Size :

    9 pages

    ISBN :

    978-1-4471-2280-7 , 978-1-4471-2279-1

    ISSN :

    2191-6594 , 2191-6586

    DOI :

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

    Type of media :

    Article/Chapter (Book)

    Type of material :

    Electronic Resource

    Language :

    English

    Keywords :

    Global Position System , Global Navigation Satellite System , Navigation System , Extend Kalman Filter Computer Science , Image Processing and Computer Vision , Artificial Intelligence (incl. Robotics) , Pattern Recognition

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