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IMAGE FEATURE DATA-BASED VEHICLE POSITIONING METHOD

机译:基于图像特征数据的车辆定位方法

摘要

The present invention belongs to the field of vehicle positioning and specifically relates to an image feature data-based vehicle positioning method. In order to obtain the exact position of a vehicle in a parking lot in which signal strength is poor or non-existent, the method of the present invention comprises the following steps: obtaining an image of a surrounding of a vehicle parking space; extracting a feature vector of the image; comparing the feature vector of the image with a feature vector of a pre-stored image; and determining, according to the comparison result, position information of the parking space corresponding to the image, in which there is pre-stored position information corresponding to the pre-stored image. In the technical solution of the present invention, image identification and feature vector comparison are adopted, avoiding the issue in which conventional wireless positioning methods cannot perform positioning at a location, such as an underground parking lot, in which signal strength is poor or non-existent. In addition, because feature vectors of images are unique, like biological genes, the method of the present invention ensures high precision positioning accuracy and reliability.
机译:本发明属于车辆定位领域,尤其涉及一种基于图像特征数据的车辆定位方法。为了获得车辆在信号强度差或不存在的停车场中的准确位置,本发明的方法包括以下步骤:获得车辆周围环境的图像;提取图像的特征向量;比较图像的特征向量和预存图像的特征向量;根据所述比较结果,确定所述图像对应的停车位的位置信息,其中,存在所述图像对应的存储位置信息。在本发明的技术方案中,采用了图像识别和特征向量比较的方法,避免了传统的无线定位方法无法在信号强度较弱或不灵敏的地下停车场等场所进行定位的问题。存在。另外,由于像生物基因一样图像的特征向量是唯一的,因此本发明的方法确保了高精度的定位精度和可靠性。

著录项

  • 公开/公告号WO2018121360A1

    专利类型

  • 公开/公告日2018-07-05

    原文格式PDF

  • 申请/专利权人 NIO CO. LTD.;

    申请/专利号WO2017CN117275

  • 发明设计人 LAI JIANWEN;

    申请日2017-12-19

  • 分类号G06T7/70;G06K9/46;G06K9/38;

  • 国家 WO

  • 入库时间 2022-08-21 12:43:33

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