公开(公告)号：US6002983A

公开(公告)日：1999-12-14

申请号：US968737

申请日：1997-08-27

申请人： Stephen William Alland ,  James Fredrick Searcy ,  Kevin Ray Wherry

发明人： Stephen William Alland ,  James Fredrick Searcy ,  Kevin Ray Wherry

IPC分类号： G01S7/41 ,  G01S13/42 ,  G01S13/66 ,  G01S13/93 ,  G06F17/10 ,  G01S13/00

CPC分类号： G01S13/66 ,  G01S13/42 ,  G01S13/931 ,  G01S7/411 ,  G01S2013/9346 ,  G01S2013/935

摘要： A method of operation for a motor vehicle object detection system is described, in which the extent angle of an identified target is accurately determined by applying a point source scatterer identification technique to data at the periphery of a composite return. Return amplitude data from one or more complete scans of the sensor beam are collected and compared with a target threshold to identify objects in the viewing angle, thereby forming an array of amplitude data associated with successive beam positions for each identified object. In each array, the left-most and right-most pair of amplitude data points associated with successive beam positions are selected and individually used to compute the angle of a point source scatterer which would be responsible for that data pair. The computed scatterer angles are taken as the left and right edges of the target and used to determine the angle extent of the identified object, which in turn, enables reliable determination as to whether the identified object is in or out of the vehicle travel path, and what, if any, vehicle response is appropriate to maintain a given headway or avoid a collision with the object.

摘要翻译： 描述了一种用于机动车辆物体检测系统的操作方法，其中通过将点源散射体识别技术应用于复合返回的周边的数据来准确地确定所识别的目标的范围角。 收集来自传感器光束的一个或多个完整扫描的返回振幅数据，并将其与目标阈值进行比较，以识别视角中的对象，从而形成与每个识别对象的连续波束位置相关联的幅度数据阵列。 在每个阵列中，选择与连续波束位置相关联的最左边和最右边的幅度数据点对，并分别用于计算将负责该数据对的点源散射体的角度。 将计算出的散射体角度作为目标的左边缘和右边缘，并用于确定识别的物体的角度范围，进而可以确定所识别的物体是否在车辆行驶路径内或外， 以及如果有的话，车辆响应适合于保持给定的进展或避免与物体的碰撞。