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Lane fusion system using forward-view and rear-view cameras

机译:使用前视和后视摄像头的车道融合系统

摘要

A method and system for computing lane curvature and a host vehicle's position and orientation relative to lane boundaries, using image data from forward-view and rear-view cameras and vehicle dynamics sensors as input. A host vehicle includes cameras at the front and rear, which can be used to detect lane boundaries such as curbs and lane stripes, among other purposes. The host vehicle also includes vehicle dynamics sensors including vehicle speed and yaw rate. A method is developed which computes lane curvature and the host vehicle's position relative to a lane reference path, where the lane reference path is derived from the lane boundaries extracted from a fusion of the front and rear camera images. Mathematical models provided in the disclosure include a Kalman filter tracking routine and a particle filter tracking routine.
机译:一种使用来自前视和后视摄像头的图像数据以及车辆动态传感器作为输入来计算车道曲率以及本车相对于车道边界的位置和方向的方法和系统。宿主车辆在前后均包括照相机,除其他目的外,其可用于检测车道边界,例如路缘和车道条纹。本车辆还包括车辆动力学传感器,包括车辆速度和偏航率。开发了一种方法,该方法计算车道曲率和相对于车道参考路径的本车位置,其中,车道参考路径是从从前后相机图像的融合中提取的车道边界导出的。本公开中提供的数学模型包括卡尔曼滤波器跟踪例程和粒子滤波器跟踪例程。

著录项

  • 公开/公告号US9090263B2

    专利类型

  • 公开/公告日2015-07-28

    原文格式PDF

  • 申请/专利权人 SHUQING ZENG;

    申请/专利号US20100840069

  • 发明设计人 SHUQING ZENG;

    申请日2010-07-20

  • 分类号H04N7/18;B60W40/06;G06K9;

  • 国家 US

  • 入库时间 2022-08-21 15:19:26

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