This article addresses the problem of tracking an elliptical object (e.g., a vehicle or aircraft carrier) with unknown but fixed lengths of axes. In practice, such axis lengths are usually time invariant, but the orientation and kinematics may be time varying. To model this extended object tracking (EOT) problem well, we represent the kinematics and orientation by a random vector, and represent the axis lengths by nonrandom unknown parameters. We investigate the expectation-maximization (EM) algorithm and propose an EM-based EOT approach, which utilizes the prior information about the invariant lengths and estimates the state and parameters in a unified framework. To reduce computation for real-time applications, we develop a recursive, easy to implement approach. Handy and efficient estimation of axis lengths is developed. Simulation and real-data results are presented to illustrate the effectiveness of our modeling and approach.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Tracking of Elliptical Object With Unknown but Fixed Lengths of Axes


    Contributors:
    Li, Mingkai (author) / Lan, Jian (author) / Li, X. Rong (author)


    Publication date :

    2023-10-01


    Size :

    2261194 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    E Aerodynamic Derivatives in Body Fixed Axes

    Wright, Jan R. / Cooper, Jonathan E. | Wiley | 2014




    A Comparison of the Fixed-Axes and the Mean-Axes Modeling Methods for Flexible Aircraft Simulation

    Li, N. / Grant, P. / Abbasi, H. et al. | British Library Conference Proceedings | 2010