Inertial navigation system has been proposed as an alternative for autonomous driving because GPS signals can be blocked under conditions such as driving through a tunnel. This paper proposes a system for autonomous driving which is based on inertial navigation technology. The core method of inertial navigation including the automatic driving state update (velocity, displacement) is introduced in detail. This paper sets up a simulation platform to test the proposed system using the tools of the Raspberry Pi and MATLAB. The results show that the proposed system could provide accurate navigation information for autonomous vehicles in a short time window. However, the error of the velocity and displacement values calculated by the integral is larger than the error of the attitude angle. It indicates that t inertial navigation information must be filtered and corrected by more accurate positioning systems if it is applied in a long time window.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Study on the Inertial Navigation System for Autonomous Driving


    Contributors:
    Liu, Bufan (author) / He, Shanglu (author) / Xing, Zongyi (author) / Kang, Ning (author)

    Conference:

    20th COTA International Conference of Transportation Professionals ; 2020 ; Xi’an, China (Conference Cancelled)


    Published in:

    CICTP 2020 ; 710-721


    Publication date :

    2020-08-12




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Study on the Inertial Navigation System for Autonomous Driving

    Liu, Bufan / He, Shanglu / Xing, Zongyi et al. | TIBKAT | 2020


    Inertial Autonomous Navigation Technology

    Wang, Dayi / Li, Maodeng / Huang, Xiangyu et al. | Springer Verlag | 2020



    Pedestrian Autonomous Positioning System Based on Inertial Navigation

    Xing, Bowen / Jia, Haonan / Liu, Pengfei et al. | British Library Conference Proceedings | 2020


    Inertial Navigation and Mapping for Autonomous Vehicles

    Skoglund, Martin | BASE | 2014

    Free access