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    DYNAMIC SENSOR ARRAY
    1.
    发明申请
    DYNAMIC SENSOR ARRAY 审中-公开
    动态传感器阵列

    公开(公告)号：US20160195611A1

    公开(公告)日：2016-07-07

    申请号：US14907505

    申请日：2013-07-25

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： IGAL BILIK ,  AVSHALOM SUISSA ,  INNA STAINVAS OLSHANSKY

    IPC: G01S13/02 ,  H01Q1/32

    CPC classification number: G01S13/0209 ,  G01S7/03 ,  G01S13/931 ,  H01Q1/3233 ,  H01Q21/00

    Abstract: Methods and apparatus are provided for controlling a beam pattern of a sensor array. The apparatus includes a plurality of sensors, wherein a distance is defined between at least two of the sensors. A shape memory alloy (“SMA”) is coupled to at least one of the sensors. The SMA is controllably deformable to vary the distance between the sensors.

    Abstract translation: 提供了用于控制传感器阵列的波束图案的方法和装置。 该装置包括多个传感器，其中在至少两个传感器之间限定距离。 形状记忆合金（“SMA”）耦合到至少一个传感器。 SMA可控制地变形以改变传感器之间的距离。

    VEHICLE RADAR CONTROL
    3.
    发明申请
    VEHICLE RADAR CONTROL 有权
    车辆雷达控制

    公开(公告)号：US20160003939A1

    公开(公告)日：2016-01-07

    申请号：US14323387

    申请日：2014-07-03

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： INNA STAINVAS OLSHANSKY ,  IGAL BILIK

    IPC: G01S13/06 ,  G01S13/02

    CPC classification number: G01S13/06 ,  G01S7/41 ,  G01S7/415 ,  G01S13/02 ,  G01S13/426 ,  G01S13/89 ,  G01S13/931

    Abstract: Methods and systems are provided for controlling a radar system of a vehicle. One or more transmitters are configured to transmit radar signals. A plurality of receivers are configured to receive return radar signals after the transmitted radar signals are deflected from an object proximate the vehicle. A processor is coupled to the plurality of receivers, and is configured to generate a plurality of feature vectors based on the returned radar signals and generate a three dimensional representation of the object using the plurality of feature vectors.

    Abstract translation: 提供了用于控制车辆的雷达系统的方法和系统。 一个或多个发射器被配置为发送雷达信号。 多个接收器被配置为在发射的雷达信号从邻近车辆的物体偏转之后接收返回雷达信号。 处理器耦合到多个接收器，并且被配置为基于返回的雷达信号生成多个特征向量，并使用多个特征向量生成对象的三维表示。

    COOPERATIVE VISION-RANGE SENSORS SHADE REMOVAL AND ILLUMINATION FIELD CORRECTION
    5.
    发明申请
    COOPERATIVE VISION-RANGE SENSORS SHADE REMOVAL AND ILLUMINATION FIELD CORRECTION 有权
    合作视觉范围传感器锯片去除和照明场校正

    公开(公告)号：US20150199579A1

    公开(公告)日：2015-07-16

    申请号：US14156702

    申请日：2014-01-16

    Applicant: GM Global Technology Operations LLC

    Inventor： INNA STAINVAS OLSHANSKY ,  IGAL BILIK ,  DAN LEVI

    IPC: G06K9/00 ,  G06T7/00 ,  G06K9/46 ,  G06T5/00

    CPC classification number: G06K9/4661 ,  G06K9/00791 ,  G06K9/4642 ,  G06T5/008 ,  G06T5/40 ,  G06T2207/30252

    Abstract: A method of creating a shadow-reduced image from a captured image. An image of a scene exterior of a vehicle is captured by a vehicle-based image capture device. A first object profile of an object in the captured image is identified by a processor. A second object profile of the object is detected using a non-vision object detection device. Shadows in the captured image are removed by the processor as a function of the first object profile and the second object profile. A shadow reduced image is utilized in a vehicle-based application.

    Abstract translation: 从捕获的图像创建阴影缩小图像的方法。 车辆的场景外观的图像由基于车辆的图像捕获装置捕获。 捕获图像中的对象的第一对象简档由处理器识别。 使用非视觉对象检测装置检测对象的第二对象轮廓。 捕获的图像中的阴影作为第一对象轮廓和第二对象轮廓的函数被处理器移除。 在基于车辆的应用中使用阴影缩小图像。

    MOTION-BASED MULTI-SENSOR CALIBRATION
    7.
    发明申请
    MOTION-BASED MULTI-SENSOR CALIBRATION 审中-公开
    基于运动的多传感器校准

    公开(公告)号：US20160137209A1

    公开(公告)日：2016-05-19

    申请号：US14546123

    申请日：2014-11-18

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： INNA STAINVAS OLSHANSKY ,  YOSI BUDA

    IPC: B60W40/10 ,  B60W30/095 ,  G01D18/00

    CPC classification number: G01D18/008 ,  G01C25/00

    Abstract: A method is provided for motion-based calibration of multiple sensors. A first estimated motion is determined (e.g., for a vehicle or other object) via one of the sensors while determining a second estimated motion via a second of the sensors. A calibration transform is determined and relates the orientation and position of the first sensor to the orientation and position of the second sensor based on the estimated motions received from each sensor.

    Abstract translation: 提供了一种用于多个传感器的基于运动的校准的方法。 经由传感器之一确定第一估计运动（例如，对于车辆或其他物体），同时经由第二传感器确定第二估计运动。 确定校准变换，并且基于从每个传感器接收的估计运动，将第一传感器的取向和位置与第二传感器的取向和位置相关联。

    CURB DETECTION USING LIDAR WITH SPARSE MEASUREMENTS
    8.
    发明申请
    CURB DETECTION USING LIDAR WITH SPARSE MEASUREMENTS 有权
    CURB检测使用激光雷达与稀疏测量

    公开(公告)号：US20160026184A1

    公开(公告)日：2016-01-28

    申请号：US14339515

    申请日：2014-07-24

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： INNA STAINVAS OLSHANSKY ,  YOSI BUDA

    IPC: G05D1/02 ,  G01S17/93

    CPC classification number: G01S17/936 ,  G01S7/4802 ,  G01S17/89 ,  G05D1/024 ,  G05D2201/0213 ,  G06K9/00 ,  G06K9/00791

    Abstract: A method of detecting curb-like barriers along a route of travel using a lidar sensing system. Sparse measurement per each ray tracing is captured from a sensor using the lidar sensing system. Each ray tracing is analyzed separately by a processor. Curb candidates are identified for each respective beam. Curb candidates are combined to generate multiple curb representative hypotheses. A weighting factor is applied to each curb hypothesis. Curb hypothesis that represents the curb is selected. The curb detection is applied to an autonomous guidance system related to guiding a vehicle along the route of travel.

    Abstract translation: 一种使用激光雷达感测系统沿着行进路线检测路缘形障碍物的方法。 使用激光雷达传感系统从传感器捕获每个光线跟踪的稀疏测量。 每个光线跟踪由处理器单独分析。 针对每个相应的光束识别路缘候选。 遏制候选人被组合以产生多个遏制代表假设。 每个路边假设应用加权因子。 选择代表路缘的遏制假设。 路边检测应用于沿着行进路线引导车辆的自主引导系统。

    OBJECT CLASSIFICATION FOR VEHICLE RADAR SYSTEMS
    9.
    发明申请
    OBJECT CLASSIFICATION FOR VEHICLE RADAR SYSTEMS 有权
    车辆雷达系统的对象分类

    公开(公告)号：US20160003935A1

    公开(公告)日：2016-01-07

    申请号：US14323415

    申请日：2014-07-03

    Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

    Inventor： INNA STAINVAS OLSHANSKY ,  IGAL BILIK

    IPC: G01S7/41 ,  G01S13/88

    CPC classification number: G01S7/41 ,  G01S7/415 ,  G01S7/417 ,  G01S13/88 ,  G01S13/931

    Abstract: Methods and systems are provided for object classification for a radar system of a vehicle. The radar system includes a transmitter that transmits radar signals and a receiver that receives return radar signals after the transmitted radar signals are deflected from an object proximate the vehicle. A processor is coupled the receiver, and is configured to: obtain spectrogram data from a plurality of spectrograms pertaining to the object based on the received radar signals; aggregate the spectrogram data from each of the plurality of spectrograms into a computer vision model; and classify the object based on the aggregation of the spectrogram data from each of the plurality of spectrograms into the computer vision model.

    Abstract translation: 提供了用于车辆雷达系统的对象分类的方法和系统。 雷达系统包括发射雷达信号的发射机和在发射的雷达信号从邻近车辆的物体偏转之后接收返回雷达信号的接收机。 处理器耦合接收器，并且被配置为：基于所接收的雷达信号，从属于对象的多个频谱图获得频谱图数据; 将来自多个光谱图中的每一个的光谱图数据聚合成计算机视觉模型; 并且基于从所述多个光谱图中的每一个到所述计算机视觉模型的所述谱图数据的聚合来对所述对象进行分类。

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