The invention belongs to the field of traffic systems, and particularly relates to a method for extracting a traffic scene in a natural driving environment, which comprises the following steps: S1, acquiring a natural driving data set X, and preprocessing the data set; s3, the dimension reduction data set Y'is processed through a K-means clustering method to obtain a plurality of clusters, and the traffic scene can be restored through data in the clusters, and the traffic scene can be accurately extracted and restored in the complex natural driving environment through the method.

    本发明属于交通系统领域,具体涉及一种自然行驶环境下交通场景的提取方法,包括S1获取自然驾驶数据集X,并对所述数据集进行预处理,S2通过自编码网络对处理过的自然驾驶数据集进行层级解耦,得到降维数据集Y’,S3通过K‑means聚类法对降维数据集Y’进行处理以得到多个簇,所述簇中的数据能够还原交通场景。通过所述方法实现在复杂的自然行驶环境中准确的提取并还原交通场景。


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    Title :

    Method for extracting traffic scene in natural driving environment


    Additional title:

    一种自然行驶环境下交通场景的提取方法


    Contributors:
    REN YILONG (author) / DONG CHENGLIN (author) / YU HAIYANG (author) / WANG JIXIANG (author) / FENG BIN (author)

    Publication date :

    2022-03-01


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA



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