People Counting Based on Radar Measurement
    1.
    发明公开

    公开(公告)号:US20230393240A1

    公开(公告)日:2023-12-07

    申请号:US18317749

    申请日:2023-05-15

    CPC classification number: G01S7/417 G01S13/584 G01S7/415

    Abstract: In accordance with an embodiment, a method includes estimating a people count of one or more persons included in the scene based on a first range-Doppler measurement map and the second range-Doppler measurement map derived from a radar measurement dataset. Estimating the people count includes inputting the first range-Doppler measurement map into a first data processing pipeline of a neural network algorithm, and inputting the second range-Doppler measurement map into a second data processing pipeline of the neural network algorithm. The first data processing pipeline and the second data processing pipeline includes range-Doppler convolutional layers implementing two-dimensional convolutions along the range dimension and the Doppler dimension, and the neural network algorithm includes an output section for processing a combination of a first output of the first data processing pipeline and a second output of the second data processing pipeline in a regression block.

    Scene-Adaptive Radar
    4.
    发明申请

    公开(公告)号:US20230040007A1

    公开(公告)日:2023-02-09

    申请号:US17396032

    申请日:2021-08-06

    Abstract: In an embodiment, a method includes: receiving first radar data from a millimeter-wave radar sensor; receiving a set of hyperparameters with a radar processing chain; generating a first radar processing output using the radar processing chain based on the first radar data and the set of hyperparameters; updating the set of hyperparameters based on the first radar processing output using a hyperparameter selection neural network; receiving second radar data from the millimeter-wave radar sensor; and generating a second radar processing output using the radar processing chain based on the second radar data and the updated set of hyperparameters.

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