Driver gaze detection system
    22.
    发明授权
    Driver gaze detection system 有权
    司机注视检测系统

    公开(公告)号:US09405982B2

    公开(公告)日:2016-08-02

    申请号:US14041016

    申请日:2013-09-30

    CPC classification number: G06K9/00845 G06K9/00597 G06K9/0061

    Abstract: A method for detecting an eyes-off-the-road condition based on an estimated gaze direction of a driver of a vehicle includes monitoring facial feature points of the driver within image input data captured by an in-vehicle camera device. A location for each of a plurality of eye features for an eyeball of the driver is detected based on the monitored facial features. A head pose of the driver is estimated based on the monitored facial feature points. The gaze direction of the driver is estimated based on the detected location for each of the plurality of eye features and the estimated head pose.

    Abstract translation: 基于车辆的驾驶员的估计的注视方向来检测目标偏离路况的方法包括监视由车载摄像机装置拍摄的图像输入数据内的驾驶员的面部特征点。 基于所监视的面部特征来检测针对驾驶员的眼球的多个眼睛特征中的每一个的位置。 基于被监测的面部特征点估计驾驶员头部姿势。 基于检测到的多个眼睛特征中的每一个的位置和估计的头部姿势来估计驾驶员的视线方向。

    Methods and systems for integrating after-market components into a pre-existing vehicle system
    23.
    发明授权
    Methods and systems for integrating after-market components into a pre-existing vehicle system 有权
    将售后市场部件整合到预先存在的车辆系统中的方法和系统

    公开(公告)号:US09315164B2

    公开(公告)日:2016-04-19

    申请号:US14447046

    申请日:2014-07-30

    CPC classification number: B60R16/023

    Abstract: A system for integration and communication of aftermarket vehicle components with existing vehicle components through methods comprising an apparatus receiving an input signal comprising a raw data set, and engaging a processor configured to execute computer-executable instructions and communicate with an existing motion control system. The methods also include the apparatus communicating, or alternately generating, a vehicle identification sequence derived from the vehicle identification data set. Finally, the methods include the apparatus communicating a calibration data set comprising computer-executable instructions including a vehicle calibration sequence, executing the vehicle identification sequence, and executing the vehicle calibration sequence.

    Abstract translation: 一种用于通过包括接收包括原始数据集的输入信号的装置的装置并且使被配置为执行计算机可执行指令并与现有运动控制系统通信的处理器相结合的方法来将售后车辆部件与现有车辆部件集成和通信的系统。 所述方法还包括所述装置通信或交替地生成从所述车辆识别数据集导出的车辆识别序列。 最后,所述方法包括:传送包括计算机可执行指令的校准数据集的装置,包括车辆校准序列,执行车辆识别序列,以及执行车辆校准序列。

    METHODS AND SYSTEMS FOR INTEGRATING AFTER-MARKET COMPONENTS INTO A PRE-EXISTING VEHICLE SYSTEM
    24.
    发明申请
    METHODS AND SYSTEMS FOR INTEGRATING AFTER-MARKET COMPONENTS INTO A PRE-EXISTING VEHICLE SYSTEM 有权
    将市场部件集成到预先存在的车辆系统中的方法和系统

    公开(公告)号:US20160031389A1

    公开(公告)日:2016-02-04

    申请号:US14447046

    申请日:2014-07-30

    CPC classification number: B60R16/023

    Abstract: The present disclosure to systems for integration and communication of aftermarket vehicle components with existing vehicle components through methods comprising an apparatus receiving an input signal comprising a raw data set, and engaging a processor configured to execute computer-executable instructions and communicate with an existing motion control system. The methods also include the apparatus communicating, or alternately generating, a vehicle identification sequence derived from the vehicle identification data set. Finally, the methods include the apparatus communicating a calibration data set comprising computer-executable instructions including a vehicle calibration sequence, executing the vehicle identification sequence, and executing the vehicle calibration sequence.

    Abstract translation: 本公开涉及用于通过包括接收包括原始数据集的输入信号的装置的装置和接合被配置为执行计算机可执行指令并与现有运动控制器通信的处理器的用于集成和通信售后车辆部件与现有车辆部件的系统 系统。 所述方法还包括所述装置通信或交替地生成从所述车辆识别数据集导出的车辆识别序列。 最后,所述方法包括:传送包括计算机可执行指令的校准数据集的装置,包括车辆校准序列,执行车辆识别序列,以及执行车辆校准序列。

    Vision-based wet road surface detection
    25.
    发明授权
    Vision-based wet road surface detection 有权
    基于视觉的湿路面检测

    公开(公告)号:US09090264B1

    公开(公告)日:2015-07-28

    申请号:US14302632

    申请日:2014-06-12

    Abstract: A method for determining a wet road surface condition for a vehicle driving on a road. An image exterior of the vehicle is captured by an image capture device at a first and second instance of time. Potential objects and feature objects are detected on a ground surface of the road of travel at the first instance of time and the second instance of time. A determination is made whether the ground surface includes a mirror effect reflective surface based on a triangulation technique utilizing the feature points in the captured images at the first instance of time and the second instance of time. A wet driving surface indicating signal is generated in response to the determination that the ground surface includes a mirror effect reflective surface.

    Abstract translation: 一种用于确定在道路上行驶的车辆的湿路面状况的方法。 车辆的图像外观在第一和第二时刻由图像捕获装置捕获。 潜在的物体和特征物体在第一时间和第二时间的行进道路的地面上被检测到。 基于在第一时刻和第二时刻利用捕获图像中的特征点的三角测量技术,确定地面是否包括反射镜效应反射面。 响应于地面包括反射镜反射表面的确定,产生湿驱动表面指示信号。

    SMART TOW
    26.
    发明申请
    SMART TOW 审中-公开

    公开(公告)号:US20150115571A1

    公开(公告)日:2015-04-30

    申请号:US14476345

    申请日:2014-09-03

    Abstract: A system and method for providing visual assistance through a graphic overlay super-imposed on a back-up camera image for assisting a vehicle operator when backing up a vehicle to align a tow ball with a trailer tongue. The method includes providing camera modeling to correlate the camera image in vehicle coordinates to world coordinates, where the camera modeling provides the graphic overlay to include a tow line having a height in the camera image that is determined by an estimated height of the trailer tongue. The method also includes providing vehicle dynamic modeling for identifying the motion of the vehicle as it moves around a center of rotation. The method then predicts the path of the vehicle as it is being steered including calculating the center of rotation.

    Abstract translation: 一种用于通过超级加载在备用摄像机图像上的图形覆盖物来提供视觉辅助的系统和方法,用于在备用车辆以使牵引球与拖车舌头对准时协助车辆操作者。 该方法包括提供相机建模以将车辆坐标中的相机图像与世界坐标相关联,其中相机建模提供图形覆盖以包括具有通过拖车舌头的估计高度确定的相机图像中的高度的拖线。 该方法还包括提供车辆动态建模以识别当车辆围绕旋转中心移动时的运动。 该方法然后预测车辆在被转向时的路径,包括计算旋转中心。

    Online validation of LIDAR-to-LIDAR alignment and LIDAR-to-vehicle alignment

    公开(公告)号:US12174301B2

    公开(公告)日:2024-12-24

    申请号:US17350780

    申请日:2021-06-17

    Abstract: A LIDAR-to-LIDAR alignment system includes a memory and an autonomous driving module. The memory stores first and second points based on outputs of first and second LIDAR sensors. The autonomous driving module performs a validation process to determine whether alignment of the LIDAR sensors satisfy an alignment condition. The validation process includes: aggregating the first and second points in a vehicle coordinate system to provide aggregated LIDAR points; based on the aggregated LIDAR points, performing (i) a first method including determining pitch and roll differences between the first and second LIDAR sensors, (ii) a second method including determining a yaw difference between the first and second LIDAR sensors, or (iii) point cloud registration to determine rotation and translation differences between the first and second LIDAR sensors; and based on results of the first method, the second method or the point cloud registration, determining whether the alignment condition is satisfied.

    SENSOR ANGULAR ALIGNMENT
    29.
    发明申请

    公开(公告)号:US20240404107A1

    公开(公告)日:2024-12-05

    申请号:US18328862

    申请日:2023-06-05

    Abstract: Methods, apparatus, and systems for sensor alignment include acquiring a translational vector, a first calibration point location and a second calibration point location, determining an expected rotational orientation in response to the translational vector, the first calibration point location and the second calibration point location, capturing an image of the a first calibration point and the second calibration point, determining a first position of the first calibration point and a second position of the second calibration point in response to the image, calculating a calculated rotational orientation in response to the first position of the first calibration point and the second position of the second calibration point, determining a calibration value in response to the calculated rotational orientation, storing the calibration value and controlling a vehicle in response to the calibration value and a subsequent image.

    ROBUST LIDAR-TO-CAMERA SENSOR ALIGNMENT
    30.
    发明公开

    公开(公告)号:US20240312059A1

    公开(公告)日:2024-09-19

    申请号:US18183423

    申请日:2023-03-14

    Abstract: Method for sensor alignment including detecting a depth point cloud including a first object and a second object, generating a first control point in response to a location of the first object within the depth point cloud and a second control point in response to a location of the second object within the depth point cloud, capturing an image of a second field of view including a third object, generating a third control point in response to a location of the third object detected in response to the image, calculating a first reprojection error in response to the first control point and the third control point and a second reprojection error in response to the second control point and the third control point, generating an extrinsic parameter in response to the first reprojection error in response to the first reprojection error being less than the second reprojection error.

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