The progress in the micro electro mechanical system (MEMS) sensors technology in size, cost, weight, and power consumption allows for new research opportunities in the navigation field. Today, most of smartphones, tablets, and other handheld devices are fully packed with the required sensors for any navigation system such as GPS, gyroscope, accelerometer, magnetometer, and pressure sensors. For seamless navigation, the sensors’ signal quality and the sensors availability are major challenges. Heading estimation is a fundamental challenge in the GPS-denied environments; therefore, targeting accurate attitude estimation is considered significant contribution to the overall navigation error. For that end, this research targets an improved pedestrian navigation by developing sensors fusion technique to exploit the gyroscope, magnetometer, and accelerometer data for device attitude estimation in the different environments based on quaternion mechanization. Results indicate that the improvement in the traveled distance and the heading estimations is capable of reducing the overall position error to be less than 15 m in the harsh environments.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Low-Cost MEMS-Based Pedestrian Navigation Technique for GPS-Denied Areas


    Contributors:

    Published in:

    Journal of Sensors ; 2013 ; 1-10


    Publication date :

    2013


    Size :

    10 Seiten, 25 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    An Integrated MEMS IMU/Camera System for Pedestrian Navigation in GPS-denied Environments

    Huang, B. / Du, S. / Gao, Y. et al. | British Library Conference Proceedings | 2011


    MEMS Based Pedestrian Navigation System

    Cho, Seong Yun | Online Contents | 2006


    MEMS Gyros in Pedestrian Navigation

    Meriheina, U. / Kauppinen, O. / Kostlainen, P. et al. | British Library Conference Proceedings | 2011


    Vision Based Distributed Cooperative Navigation for MAVs in GPS denied areas

    Sharma, R. / Taylor, C. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2009