To provide a trajectory prediction method capable of drastically enhancing accuracy in feature extraction.SOLUTION: In a process where an exercise main body performs an exercise in a present environment, a trajectory prediction neural network performs: acquiring input present trajectory data and present map data of a present environment, so as to express them as a present trajectory point aggregation and a present map point aggregation in a high-dimensional space; obtaining by extraction, a global scene feature having a present environment map feature and trajectory feature based on the present trajectory point aggregation and the present map point aggregation; and outputting by prediction, a plurality of prediction trajectory point aggregations of the exercise main body and probabilities corresponding to the respective prediction trajectory point aggregations based on the global scene feature.SELECTED DRAWING: Figure 11

    【課題】特徴抽出の精度を著しく高めることができる軌跡予測方法を提供する。【解決手段】運動主体が現在の環境において運動を実行する過程において、軌跡予測ニューラルネットワークは、入力された現在の軌跡データと現在の環境の現在の地図データとを取得して高次元空間における現在の軌跡点集合及び現在の地図点集合として表現し、現在の軌跡点集合及び現在の地図点集合に基づいて、現在の環境の地図特徴及び軌跡特徴を有するグローバルシーン特徴を抽出して得て、グローバルシーン特徴に基づいて、運動主体の複数の予測軌跡点集合と、各予測軌跡点集合に対応する確率とを予測して出力する。【選択図】図11


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    Title :

    TRAJECTORY PREDICTION METHOD AND DEVICE


    Additional title:

    軌跡予測方法及び装置


    Contributors:
    HE HAO (author) / WANG NAI YAN (author)

    Publication date :

    2022-01-21


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Japanese


    Classification :

    IPC:    G06V / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



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