Detecting long objects by sensor fusion

    公开(公告)号:US10317522B2

    公开(公告)日:2019-06-11

    申请号:US15057437

    申请日:2016-03-01

    Abstract: A system and method are provided for detecting and identifying elongated objects relative to a host vehicle. The method includes detecting objects relative to the host vehicle using a plurality of object detection devices, identifying patterns in detection data that correspond to an elongated object, wherein the detection data includes data fused from at least two of the plurality of object detection devices, determining initial object parameter estimates for the elongated object using each of the plurality of object detection devices, calculating object parameter estimates for the elongated object by fusing the initial object parameter estimates from each of the plurality of object detection devices, and determining an object type classification for the elongated object by fusing the initial object parameter estimates from each of the plurality of object detection devices.

    Six-dimensional point cloud system for a vehicle

    公开(公告)号:US10139833B1

    公开(公告)日:2018-11-27

    申请号:US15597994

    申请日:2017-05-17

    Abstract: A six-dimensional point cloud system for a vehicle is provide which may, for example calculate, for each point in a point cloud, a three-dimensional velocity of the respective point in the point cloud, segment each point in the point cloud into one or more clusters of points, compute a kinematic state of each of the one or more clusters of points, determine an object type associated with each of the one or more cluster, and determine a threat level and a response command based upon the determined object type and the kinematic state of each of the one or more clusters of points.

    Method of automatic sensor pose estimation

    公开(公告)号:US10088553B2

    公开(公告)日:2018-10-02

    申请号:US15069547

    申请日:2016-03-14

    Abstract: A method and sensor system are disclosed for automatically determining object sensor position and alignment on a host vehicle. A radar sensor detects objects surrounding the host vehicle in normal operation. Static objects are identified as those objects with ground speed approximately equal to zero. Vehicle dynamics sensors provide vehicle longitudinal and lateral velocity and yaw rate data. Measurement data for the static objects—including azimuth angle, range and range rate relative to the sensor—along with the vehicle dynamics data, are used in a recursive geometric calculation which converges on actual values of the radar sensor's two-dimensional position and azimuth alignment angle on the host vehicle.

    Optimized memory layout through data mining

    公开(公告)号:US09830270B2

    公开(公告)日:2017-11-28

    申请号:US14951656

    申请日:2015-11-25

    Abstract: A method of ordering memory access by an instruction cache of a central processing unit on a global memory device. A signal list of a link map file is extracted in the global memory device. Memory access traces relating to executed tasks are accessed from the signal list. Memory locations accessed in the global memory device from the access traces are identified. A correlation value for each pair of memory locations accessed in the global memory device is determined. Correlation values of the pairs of memory locations are determined, wherein the correlation values are computed based on a proximity of executable instructions utilizing the respective pair of memory locations. Accessed memory locations within the global memory device are reordered as a function of the determined correlation values. An executable file accessing the global memory device is modified.

    High assurance lane fusion system
    30.
    发明授权
    High assurance lane fusion system 有权
    高保证车道融合系统

    公开(公告)号:US09493159B2

    公开(公告)日:2016-11-15

    申请号:US14540350

    申请日:2014-11-13

    CPC classification number: B60W30/12 B60W50/0225

    Abstract: A lane centering fusion system including a primary controller determining whether a vehicle is centered within a lane of travel. The primary controller includes a primary lane fusion unit for fusing lane sensed data for identifying a lane center position. A secondary controller determines whether a vehicle is centered within a lane of travel. The secondary controller includes a secondary lane fusion unit for fusing lane sensed data for identifying the lane center position. The primary controller and secondary controller are asynchronous controllers. A lane centering control unit maintains the vehicle centered within the lane of travel. The lane centering control unit utilizes fusion data output from the primary controller for maintaining lane centering control. The lane centering control unit utilizes fusion data output from the secondary controller in response to a detection of a fault with respect to the primary controller.

    Abstract translation: 一种车道对中融合系统,包括确定车辆是否位于行驶车道内的主控制器。 主控制器包括用于识别车道中心位置的用于对车道感测数据进行熔合的主车道融合单元。 二级控制器确定车辆是否居中在行驶车道内。 次级控制器包括用于对车道感测数据进行熔合以识别车道中心位置的次车道融合单元。 主控制器和二次控制器是异步控制器。 车道中心控制单元将车辆保持在行驶车道的内部。 车道对中控制单元利用从主控制器输出的融合数据来维持车道对中控制。 车道对中控制单元响应于相对于主控制器的故障的检测,利用从次级控制器输出的融合数据。

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