SUPPORT CONTROL DEVICE
    3.
    发明公开
    SUPPORT CONTROL DEVICE 有权
    TRÄGERSTEUEREINRICHTUNG

    公开(公告)号:EP2019382A1

    公开(公告)日:2009-01-28

    申请号:EP07743412.4

    申请日:2007-05-15

    摘要: An accuracy error for measuring the position of an own vehicle is calculated based on the information of an execution history of map matching and the information of an update history of a map database. In addition, a predetermined map is referred to based on the calculated accuracy error, and an accuracy error level for performing positioning is specified from among plural stepwise levels. Then, the control level of assist control executed according to the position of the own vehicle is changed so as to correspond to the specified accuracy error level.

    摘要翻译: 基于地图匹配的执行历史的信息和地图数据库的更新历史的信息来计算用于测量自身车辆的位置的精度误差。 另外,基于计算出的精度误差来参照预定图,并且从多个逐级指定了用于进行定位的精度误差等级。 然后,根据本车辆的位置执行的辅助控制的控制水平被改变以对应于指定的精度误差水平。

    OBJECT RECOGNITION DEVICE
    5.
    发明授权
    OBJECT RECOGNITION DEVICE 有权
    对象识别装置

    公开(公告)号:EP2019288B1

    公开(公告)日:2013-12-18

    申请号:EP07743414.0

    申请日:2007-05-15

    摘要: An object recognition device detects a position of a vehicle based on a running path obtained by GPS, vehicle speed, steering angle, etc., and also detects the position of the vehicle based on a result of recognition of an object obtained using a captured image of a camera. The device computes a positioning accuracy in detecting the vehicle position, which accuracy mostly deteriorates as a movement distance of the vehicle increases. Positional data of the object on the road to be recognized is stored in a map database beforehand. A recognition range of the road of the object to be recognized is set based on the detected position of the vehicle, a position of the object stored in the map database, and the computed positioning accuracy. The object is recognized for the set recognition range by processing of the captured image of the camera.

    摘要翻译: 物体识别装置基于通过GPS获得的行驶路径,车辆速度,转向角度等来检测车辆的位置,并且还基于使用拍摄图像获得的物体的识别结果来检测车辆的位置 的相机。 该装置在检测车辆位置时计算定位精度,该精度大多随着车辆的移动距离增加而恶化。 预先将待识别道路上的物体​​的位置数据存储在地图数据库中。 基于检测到的车辆的位置,存储在地图数据库中的对象的位置和计算出的定位精度来设置待识别对象的道路的识别范围。 通过处理摄像机的拍摄图像来识别物体的设定识别范围。