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Robust simultaneous localization and mapping via removal of dynamic traffic participants

机译:通过移除动态流量参与者来实现稳定的同时定位和映射

摘要

A system, computer-readable medium, and method for localization and mapping for an autonomous vehicle are provided. The system may obtain an image. The system may assign labels to one or more objects of the image. The system may also obtain a point cloud. The system may determine one or more object clusters of the point cloud and associate the labels assigned to the one or more objects of the image with points of the object clusters of the point cloud. The system may further identify three-dimensional (3D) objects of the point cloud based on the labels associated with the points of the object clusters. In some aspects, the system may remove dynamic traffic participants from the point cloud based on the identified 3D objects and/or perform a simultaneous localization and mapping operation on the point cloud after removing the dynamic traffic participants.
机译:提供了一种用于自动驾驶汽车的定位和地图绘制的系统,计算机可读介质和方法。该系统可以获得图像。系统可以将标签分配给图像的一个或多个对象。该系统还可以获得点云。该系统可以确定点云的一个或多个对象簇,并将分配给图像的一个或多个对象的标签与点云的对象簇的点相关联。系统可以进一步基于与对象簇的点相关联的标签来识别点云的三维(3D)对象。在一些方面,系统可以基于所识别的3D对象从点云移除动态交通参与者,和/或在移除动态交通参与者之后在点云上执行同时的定位和映射操作。

著录项

  • 公开/公告号US10657388B2

    专利类型

  • 公开/公告日2020-05-19

    原文格式PDF

  • 申请/专利权人 HONDA MOTOR CO. LTD.;

    申请/专利号US201815919548

  • 发明设计人 ABHISHEK NARENDRA PATIL;

    申请日2018-03-13

  • 分类号G06K9;G06K9/62;G06T7/187;G05D1/02;

  • 国家 US

  • 入库时间 2022-08-21 11:30:37

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