RADAR CLUSTERING USING MACHINE LEARNING
    3.
    发明公开

    公开(公告)号:US20230366983A1

    公开(公告)日:2023-11-16

    申请号:US17744566

    申请日:2022-05-13

    CPC classification number: G01S7/417 G06N3/08 G06N3/04 G01S13/66

    Abstract: A processor-implemented method for radar-based tracking of an object includes transmitting radio frequency (RF) signals. In response to the transmitted RF signals, one or more return RF signals are received. Features of the one or more return RF signals are extracted. A graph comprising multiple nodes is generated. Each node of the graph corresponds to the one or more return RF signals and indicates a potential target object detection. An existence of a plurality of edges is determined. Each edge connects a pair of nodes in the graph based on features of the return RF signals. The existence of each edge indicates that the pair of nodes connected correspond to a same target object.

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