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    SENSOR SYSTEM FOR A VEHICLE FOR DETECTING BRIDGES OR TUNNEL ENTRANCES
    45.
    发明申请
    SENSOR SYSTEM FOR A VEHICLE FOR DETECTING BRIDGES OR TUNNEL ENTRANCES 审中-公开
    用于检测桥梁或隧道入口的车辆传感器系统

    公开(公告)号：US20170023678A1

    公开(公告)日：2017-01-26

    申请号：US15207668

    申请日：2016-07-12

    申请人： Robert Bosch GmbH

    发明人： Oliver Pink ,  Axel Buettner ,  Dominik Maucher ,  Achim Feyerabend ,  Christoph Schroeder

    IPC分类号： G01S17/08 ,  G01S17/93

    CPC分类号： G01S17/936 ,  G01S13/865 ,  G01S17/42 ,  G01S2013/9375 ,  G01S2013/9385

    摘要： A sensor system for a vehicle for detecting bridges and tunnels is described, which includes a lateral LIDAR sensor, which is located on a first side of the vehicle and has a detection area covering a lateral surrounding area of the vehicle, and a control unit for evaluating the measuring data from the lateral LIDAR sensor. The lateral LIDAR sensor is positioned rotated about a vertical axis so that part of the detection area of the lateral LIDAR sensor at the front in the travel direction detects an upper spatial area located at a predefined distance ahead of the vehicle. The lateral LIDAR sensor is tilted about its transverse axis with respect to the horizontal, so the detection area of the lateral LIDAR sensor detects the remote upper spatial area at a predefined height above the vehicle using its part which is at the front in the direction of travel.

    摘要翻译： 描述了用于检测桥梁和隧道的车辆的传感器系统，其包括位于车辆的第一侧上并具有覆盖车辆的横向周围区域的检测区域的侧向LIDAR传感器，以及用于 从侧向LIDAR传感器评估测量数据。 横向LIDAR传感器被定位成围绕垂直轴线旋转，使得行进方向前侧的侧面LIDAR传感器的检测区域的一部分检测位于车辆前方预定距离的上部空间区域。 横向LIDAR传感器围绕其相对于水平线的横轴倾斜，因此侧向LIDAR传感器的检测区域在车辆上方的预定高度处检测远程上部空间区域，其部分在前方沿着 旅行。

    Method and device for determining the position of a vehicle
    47.
    发明授权
    Method and device for determining the position of a vehicle 有权

    公开(公告)号：US10698100B2

    公开(公告)日：2020-06-30

    申请号：US15576447

    申请日：2016-05-10

    申请人： Robert Bosch GmbH

    发明人： Jan Becker ,  Oliver Pink ,  Soeren Kammel

    IPC分类号： G01S1/00 ,  G01S13/86 ,  G01S19/40 ,  G01S13/931 ,  G01S13/89

    摘要： A method for determining the position of a vehicle, including: determination of a GNS vehicle position by a GNS unit, sensor acquisition of a surrounding environment of the GNS vehicle position by a radar sensor unit of the vehicle in order to ascertain radar data corresponding to the acquired surrounding environment, detection of objects situated in the surrounding environment based on the radar data, ascertaining of a direction vector that points from a detected object to a reference point fixed to the vehicle, comparison of the radar data and the ascertained direction vector to a digital map that has objects and direction vectors assigned to the objects, the direction vectors assigned to the objects pointing to a position in the digital map from which the corresponding object was acquired by a radar sensor unit, and ascertaining of a corrected vehicle position based on the GNS vehicle position and the comparison.

    Method and apparatus for determining the position of a vehicle
    48.
    发明授权
    Method and apparatus for determining the position of a vehicle 有权

    公开(公告)号：US10648828B2

    公开(公告)日：2020-05-12

    申请号：US15116036

    申请日：2014-12-02

    申请人： Robert Bosch GmbH

    发明人： Oliver Pink ,  Jan Sparbert

    IPC分类号： G01C21/36 ,  G01C21/30 ,  G06K9/00 ,  G01C22/00

    摘要： A method for determining the position of a vehicle, including sensing of multiple objects in a surround field of the vehicle, detecting a sequence of the multiple sensed objects in a digital map and determining a position of the vehicle in the digital map based on a position of the detected sequence in the digital map. An apparatus for determining the position of a vehicle, as well as to a computer program are also described.

    Danger detection in an intended lane change
    49.
    发明授权
    Danger detection in an intended lane change 有权

    公开(公告)号：US10513261B2

    公开(公告)日：2019-12-24

    申请号：US16032934

    申请日：2018-07-11

    申请人： Robert Bosch GmbH

    发明人： Oliver Pink ,  Oliver F. Schwindt

    IPC分类号： B60W30/095 ,  B60W30/08 ,  B60W40/04 ,  G08G1/16 ,  B60W40/10 ,  B60W30/09 ,  B60W30/18 ,  B60W50/14 ,  G05D1/00 ,  G06K9/00

    摘要： A method for ascertaining the danger potential of a lane change of an ego vehicle from the currently used traffic lane to an adjacent traffic lane, a detection range in the external space of the ego vehicle being monitored, and the effect of objects identified in the detection range on the danger potential is evaluated, and based on positions and speeds of internal other vehicles identified in the detection range, it is determined whether external other vehicles located outside the detection range are able to reach a target region in which the ego vehicle is located following the intended lane change. A method for the at least partially automated control of an ego vehicle, in which in the case of an intended lane change, the danger potential of this lane change is evaluated, and the lane change is prevented if external other vehicles are able to reach the target region.

    METHOD AND DEVICE FOR DETERMINING AN EXACT POSITION OF A VEHICLE WITH THE AID OF RADAR SIGNATURES OF THE VEHICLE SURROUNDINGS
    50.
    发明申请
    METHOD AND DEVICE FOR DETERMINING AN EXACT POSITION OF A VEHICLE WITH THE AID OF RADAR SIGNATURES OF THE VEHICLE SURROUNDINGS 审中-公开

    公开(公告)号：US20190285419A1

    公开(公告)日：2019-09-19

    申请号：US16347488

    申请日：2017-10-23

    申请人： Robert Bosch GmbH

    发明人： Carsten Hasberg ,  Christoph Schroeder ,  Danny Hiendriana ,  Oliver Pink ,  Philipp Rasp

    IPC分类号： G01C21/30 ,  G01S7/41

    摘要： A method and device for determining a first highly precise position of a vehicle. The method includes acquiring surrounding-area data values using at least one radar sensor of the vehicle, the surrounding-area data values representing a surrounding area of the vehicle; and determining a rough position of the vehicle as a function of the acquired surrounding area data values. In addition, the method includes determining surrounding-area feature data values as a function of the determined rough position of the vehicle, the surrounding-area feature data values representing at least one surrounding-area feature and a second highly precise position of the at least one surrounding-area feature; and determining the first highly precise position of the vehicle as a function of the at least one surrounding-area feature, according to predefined localization criteria, the first highly precise position of the vehicle being more precise than the rough position of the vehicle.