feeding signals from sensors (internal sensors, 3D sensors, cameras) of the vehicle to the driver assistance system,generation of a surrounding model using 3D world positions based on the sensor signals and,combination of 3D Warping-based approaches and optical flow based approaches, whose gained novel key points are:a) Restriction of the search space of an optical flow method based on the computation results of the 3D warping method,b) Additionally, to a) also an optimal parameterization of the optical flow approach in terms of search direction, amplitude, etc.,c) Refinement and verification of the detection results of one of the methods based on the computation results of the other method (if both approaches are running in parallel),storing the detected dynamic objects and their measured motion parameters for their use in, e.g. a collision avoidance or path planning system."/> OBJECT MOTION DETECTION SYSTEM BASED ON COMBINING 3D WARPING TECHNIQUES AND A PROPER OBJECT MOTION DETECTION
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OBJECT MOTION DETECTION SYSTEM BASED ON COMBINING 3D WARPING TECHNIQUES AND A PROPER OBJECT MOTION DETECTION

机译:基于3D WARP技术与正确物体运动检测相结合的物体运动检测系统

摘要

The invention proposes a method for detecting dynamic objects in the scene in a driver assistance system of a vehicle, comprising the steps of:feeding signals from sensors (internal sensors, 3D sensors, cameras) of the vehicle to the driver assistance system,generation of a surrounding model using 3D world positions based on the sensor signals and,combination of 3D Warping-based approaches and optical flow based approaches, whose gained novel key points are:a) Restriction of the search space of an optical flow method based on the computation results of the 3D warping method,b) Additionally, to a) also an optimal parameterization of the optical flow approach in terms of search direction, amplitude, etc.,c) Refinement and verification of the detection results of one of the methods based on the computation results of the other method (if both approaches are running in parallel),storing the detected dynamic objects and their measured motion parameters for their use in, e.g. a collision avoidance or path planning system.
机译:本发明提出了一种用于在车辆的驾驶员辅助系统中检测场景中的动态物体的方法,该方法包括以下步骤: 从车辆的传感器(内部传感器,3D传感器,照相机)向驾驶员辅助系统馈送信号, 生成基于3D世界位置的传感器信号和 基于3D翘曲的方法和基于光流的方法的组合,这些模型获得了新颖的关键点是: a)基于3D翘曲方法的计算结果限制光流方法的搜索空间, b)此外,除了a)以外,还对搜索方向,幅度等方面的光流方法进行了最佳参数化, c )根据另一种方法的计算结果(如果两种方法并行运行)对一种方法的检测结果进行细化和验证, 存储检测到的动态对象及其测量的运动参数,以用于例如避免碰撞或路径规划系统。

著录项

  • 公开/公告号US2010315505A1

    专利类型

  • 公开/公告日2010-12-16

    原文格式PDF

  • 申请/专利权人 THOMAS MICHALKE;ROBERT KASTNER;

    申请/专利号US20100781272

  • 发明设计人 ROBERT KASTNER;THOMAS MICHALKE;

    申请日2010-05-17

  • 分类号H04N7/18;G06K9/00;

  • 国家 US

  • 入库时间 2022-08-21 18:15:01

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