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    SYSTEMS AND METHODS FOR RESOLVING POSITIONAL AMBIGUITIES USING ACCESS POINT INFORMATION
    4.
    发明申请
    SYSTEMS AND METHODS FOR RESOLVING POSITIONAL AMBIGUITIES USING ACCESS POINT INFORMATION 有权
    使用访问点信息来解决位置使用的系统和方法

    公开(公告)号：US20160269867A1

    公开(公告)日：2016-09-15

    申请号：US14656305

    申请日：2015-03-12

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： SHUQING ZENG ,  FAN BAI ,  PRIYANTHA UPALI MUDALIGE

    IPC: H04W4/02 ,  H04B1/3822

    CPC classification number: H04W4/027 ,  H04W4/023

    Abstract: A positioning method includes acquiring global positioning system (GPS) position data associated with a mobile platform from a plurality of GPS satellites observable by the mobile platform. A set of wireless range measurements associated with the mobile platform and a plurality of wireless access points in communication with the mobile platform are acquired. The method further includes receiving, from a server communicatively coupled to the mobile platform over a network, wireless position data associated with the plurality of wireless access points. A corrected position of the mobile platform is determined based on the wireless position data, the wireless range measurements, and the GPS position data.

    Abstract translation: 定位方法包括从移动平台可观察到的多个GPS卫星获取与移动平台相关联的全球定位系统（GPS）位置数据。 获取与移动平台相关联的一组无线范围测量以及与移动平台通信的多个无线接入点。 该方法还包括从通过网络通信地耦合到移动平台的服务器接收与多个无线接入点相关联的无线位置数据。 基于无线位置数据，无线范围测量和GPS位置数据确定移动平台的校正位置。

    BAYESIAN NETWORK TO TRACK OBJECTS USING SCAN POINTS USING MULTIPLE LiDAR SENSORS
    5.
    发明申请
    BAYESIAN NETWORK TO TRACK OBJECTS USING SCAN POINTS USING MULTIPLE LiDAR SENSORS 有权
    贝叶斯网络使用多个LiDAR传感器使用扫描点跟踪对象

    公开(公告)号：US20130246020A1

    公开(公告)日：2013-09-19

    申请号：US13789379

    申请日：2013-03-07

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： SHUQING ZENG

    IPC: G06N7/00

    CPC classification number: G06N7/005 ,  G01S7/4808 ,  G01S17/023 ,  G01S17/66 ,  G01S17/87 ,  G01S17/936 ,  G06F17/5009

    Abstract: A system and method for fusing the outputs from multiple LiDAR sensors on a vehicle. The method includes providing object files for objects detected by the sensors at a previous sample time, where the object files identify the position, orientation and velocity of the detected objects. The method also includes receiving a plurality of scan returns from objects detected in the field-of-view of the sensors at a current sample time and constructing a point cloud from the scan returns. The method then segments the scan points in the point cloud into predicted clusters, where each cluster initially identifies an object detected by the sensors. The method matches the predicted clusters with predicted object models generated from objects being tracked during the previous sample time. The method creates new object models, deletes dying object models and updates the object files based on the object models for the current sample time.

    Abstract translation: 用于将来自车辆上的多个LiDAR传感器的输出进行融合的系统和方法。 该方法包括在先前的采样时间提供由传感器检测到的物体的目标文件，其中目标文件识别被检测物体的位置，取向和速度。 该方法还包括在当前采样时间从传感器的视场中检测到的物体接收多个扫描返回，并从扫描返回构建点云。 然后，该方法将点云中的扫描点分割成预测的簇，其中每个簇最初识别由传感器检测到的对象。 该方法将预测的聚类与在之前的采样时间内跟踪的对象产生的预测对象模型进行匹配。 该方法创建新的对象模型，删除垂死对象模型，并根据当前采样时间的对象模型更新对象文件。

    OPTIMIZED TASK PARTITIONING THROUGH DATA MINING
    7.
    发明申请
    OPTIMIZED TASK PARTITIONING THROUGH DATA MINING 审中-公开

    公开(公告)号：US20170147402A1

    公开(公告)日：2017-05-25

    申请号：US14951645

    申请日：2015-11-25

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： SHUQING ZENG ,  SHIGE WANG ,  STEPHEN G. LUSKO

    IPC: G06F9/50

    CPC classification number: G06F9/505 ,  G06F9/5016 ,  G06F9/5066

    Abstract: A method of partitioning tasks on a multi-core ECU. A signal list of a link map file is extracted in a memory. Memory access traces relating to executed tasks are obtained from the ECU. A number of times each task accesses a memory location is identified. A correlation graph between the each task and each accessed memory location is generated. The correlation graph identifies a degree of linking relationship between each task and each memory location. The correlation graph is re-ordered so that the respective tasks and associated memory locations having greater degrees of linking relationships are adjacent to one another. The tasks are partitioned into a respective number of cores on the ECU. Allocating tasks and memory locations among the respective number of cores is performed as a function of substantially balancing workloads with minimum cross-core communication among the respective cores.

    SYSTEMS AND METHODS FOR DETERMINING NETWORK ACCESS POINT LOCATIONS
    8.
    发明申请
    SYSTEMS AND METHODS FOR DETERMINING NETWORK ACCESS POINT LOCATIONS 有权
    用于确定网络接入点位置的系统和方法

    公开(公告)号：US20160353242A1

    公开(公告)日：2016-12-01

    申请号：US14722566

    申请日：2015-05-27

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： SHUQING ZENG ,  FAN BAI

    IPC: H04W4/02 ,  H04W4/04

    CPC classification number: H04W4/023 ,  H04W4/046

    Abstract: A positioning method for a mobile platform includes acquiring GPS position data associated with the mobile platform from a plurality of GPS satellites observable by the mobile platform. A set of wireless range measurements associated with the mobile platform and a plurality of wireless access points in communication with the mobile platform are received (e.g., via time-of-flight measurements). Wireless position data associated with the plurality of wireless access points is received from a server communicatively coupled to the mobile platform over a network. A corrected position of the mobile platform based on the wireless position data, the wireless range measurements, and the GPS position data.

    Abstract translation: 用于移动平台的定位方法包括从移动平台可观察到的多个GPS卫星获取与移动平台相关联的GPS位置数据。 接收与移动平台相关联的一组无线范围测量和与移动平台通信的多个无线接入点（例如，经由飞行时间测量）。 从通过网络通信地耦合到移动平台的服务器接收与多个无线接入点相关联的无线位置数据。 基于无线位置数据，无线范围测量和GPS位置数据的移动平台的校正位置。

    SENSOR-AIDED VEHICLE POSITIONING SYSTEM
    9.
    发明申请
    SENSOR-AIDED VEHICLE POSITIONING SYSTEM 有权
    传感器辅助车辆定位系统

    公开(公告)号：US20160282128A1

    公开(公告)日：2016-09-29

    申请号：US15176419

    申请日：2016-06-08

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： SHUQING ZENG ,  JEREMY A. SALINGER ,  BAKHTIAR B. LITKOUHI ,  JOEL PAZHAYAMPALLIL ,  KEVIN A. O'DEA ,  JAMES N. NICKOLAOU ,  MARK E. SHIELDS

    IPC: G01C21/30 ,  G01S19/42

    CPC classification number: G01C21/30 ,  B60W30/0956 ,  B60W30/12 ,  G01C21/3602 ,  G01S5/16 ,  G01S13/06 ,  G01S13/931 ,  G01S19/42 ,  G01S19/48 ,  G01S2013/9357 ,  G05D1/0212

    Abstract: A method for localizing a vehicle in a digital map. GPS raw measurement data is retrieved from satellites. A digital map of a region traveled by the vehicle based on the raw measurement data is retrieved from a database. The digital map includes a geographic mapping of a traveled road and registered roadside objects. The registered roadside objects are positionally identified in the digital map by earth-fixed coordinates. Roadside objects are sensed in the region traveled by the vehicle using distance data and bearing angle data. The sensed roadside objects are matched on the digital map. A vehicle position is determined on the traveled road by fusing raw measurement data and sensor measurements of the identified roadside objects. The position of the vehicle is represented as a function of linearizing raw measurement data and the sensor measurement data as derived by a Jacobian matrix and normalized measurements, respectively.

    Abstract translation: 一种用于在数字地图中定位车辆的方法。 从卫星检索GPS原始测量数据。 从数据库检索基于原始测量数据的车辆行驶的区域的数字地图。 数字地图包括旅行的道路和注册的路边物体的地理地图。 注册的路边物体通过地球固定坐标在数字地图中进行位置识别。 在使用距离数据和方位角数据的车辆行驶的区域中检测路边物体。 感测到的路边物体在数字地图上匹配。 通过融合原始测量数据和识别的路边物体的传感器测量，在行驶的道路上确定车辆位置。 车辆的位置被表示为将原始测量数据和由雅可比矩阵和归一化测量导出的传感器测量数据线性化的函数。

    HIGH ASSURANCE LANE FUSION SYSTEM
    10.
    发明申请
    HIGH ASSURANCE LANE FUSION SYSTEM 有权
    高保证LANE融合系统

    公开(公告)号：US20160137200A1

    公开(公告)日：2016-05-19

    申请号：US14540350

    申请日：2014-11-13

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： SHIGE WANG ,  SHUQING ZENG ,  XIAOFENG SONG

    IPC: B60W30/12

    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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