To accurately perform downsampling of running data.SOLUTION: A downsampling method of running data with machine learning includes the steps of: acquiring the running data; calculating a predetermined feature amount on the running data; setting a time length or a position of a window so that the rate of the running data to each of running regions is almost equal; producing cutout data from the running data using the window; calculating an error between appearance frequency of the feature amount on the running data and appearance frequency of the feature amount on the cutout data; and selecting the cutout data so that the error is a predetermined value or less.SELECTED DRAWING: Figure 1

    【課題】走行データのダウンサンプリングを精度よく実施する。【解決手段】機械学習を用いた走行データのダウンサンプリング方法は、走行データを取得する工程と、走行データに対して所定の特徴量を算出する工程と、走行領域ごとの走行データの割合が略同一となるように窓の時間長又は位置を設定する工程と、走行データから窓を用いて切り出しデータを生成する工程と、走行データの特徴量の出現頻度と切り出しデータの特徴量の出現頻度との誤差を算出する工程と、誤差が所定値以下となるように切り出しデータを選定する工程と、を有する。【選択図】図1


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    Titel :

    DOWNSAMPLING METHOD


    Weitere Titelangaben:

    ダウンサンプリング方法


    Beteiligte:
    OKUDA KOICHI (Autor:in) / TOZAWA HIDEAKI (Autor:in) / TABATA ATSUSHI (Autor:in) / IMAMURA TAKESHI (Autor:in)

    Erscheinungsdatum :

    21.02.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Japanisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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