Vehicle navigation is the corn element of Intelligent Transport System. The integrated system of "Beidou" Double-star/DR is studied in this paper according to the present state of vehicle navigation in our country. "Beidou" Double-star navigation position system is one regional satellite position system built up by our country, which can provide rapidly not only highly precision position and brevity telegram service. However, when the vehicles go around the tall buildings, high mountain area, wayside trees and in the tunnels, all signal may not be received. If the satellite navigation position system is used only, the precision will be reduced. Therefore, this paper proposes a nonlinear self-adaptive Kalman filter model and its algorithm for a Double-star/DR integrated navigation system in land vehicles, and verifies effectively the algorithm and scheme through the means of simulation. Next, this paper introduces map match approach. The roads are segmented and character information is brought out. Then, proper search rules and map match algorithm are adopted. According to the current vehicle position information that Double-Star/DR system provides, the nearest road can be found in the map database. The vehicle position will be matched and displayed on the road. The result of the experiment shows that the Double-Star/DR integrated algorithm and map match can improve reliability and the precision of vehicle navigation system efficiently.


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    Title :

    Study on integrated vehicle navigation system of Beidou Double-Star/DR


    Contributors:
    Liu, Hong (author) / Liu, Jianye (author) / Zhai, Linpei (author) / Xiu, Jihong (author)

    Conference:

    ICO20: Optical Devices and Instruments ; 2005 ; Changchun,China


    Published in:

    Publication date :

    2005-12-09





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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