­
­
­
­

Inventi Impact: Soft Computing

Articles

  • Inventi:esc/32172/20
    Doppler-Spectrum Feature-Based Humanâ??Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor
    Research 2020 : July - September
    Eugin Hyun, YoungSeok Jin

    In this paper, we propose a Doppler-spectrum feature-based humanâ??vehicle classification\nscheme for anFMCW(frequency-modulated continuous wave) radar sensor. We introduce three novel\nfeatures referred to as the scattering point count, scattering point difference, and magnitude difference\nrate features based on the characteristics of the Doppler spectrum in two successive frames....................

    How to Cite this Article
    Attribution/ CC Compliant Citation: Hyun, Eugin, and YoungSeok Jin. \"Doppler-Spectrum Feature-Based Human -\nVehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor.\" Sensors 20.7 (2020): 2001.\nhttps://doi:10.3390/s20072001\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
    Download Full Text