ROAD VERTICAL CONTOUR DETECTION
    52.
    发明申请
    ROAD VERTICAL CONTOUR DETECTION 有权
    道路垂直轮廓检测

    公开(公告)号:US20150086080A1

    公开(公告)日:2015-03-26

    申请号:US14554500

    申请日:2014-11-26

    Abstract: A driver assistance/control system includes a camera operatively connectible to a processor mountable in a host vehicle. A vertical deviation in road contour is detected while the host vehicle is moving. First, second and third images of the road are captured from the camera. By matching image points of the road in the first image and corresponding image points of the road in the second image, a first homography is computed which transforms the first image of the road to the second image of the road. A second homography is computed which transforms the second image of the road to the third image of the road. A chained homography is computed by chaining the first and second homographies. By using the chained homography as an initial guess, a third homography is computed which transforms the first image of the road to the third image of the road.

    Abstract translation: 驾驶员辅助/控制系统包括可操作地连接到可安装在主车辆中的处理器的照相机。 当主车辆移动时,检测道路轮廓的垂直偏差。 首先,从摄像机捕获道路的第二和第三图像。 通过将第一图像中的道路的图像点和第二图像中的道路的对应图像点匹配,计算将道路的第一图像变换到道路的第二图像的第一单应性。 计算将第二道路图像变换到道路的第三图像的第二单应性。 通过链接第一和第二同形异义来计算链接的单色。 通过使用链式单应性作为初始猜测,计算出将道路的第一图像变换到道路的第三图像的第三单应性。

    Controlling host vehicle based on detected door opening events

    公开(公告)号:US11915491B2

    公开(公告)日:2024-02-27

    申请号:US17087170

    申请日:2020-11-02

    CPC classification number: G06V20/584 B60W30/08 G05D1/0088 G05D1/0246

    Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a system may comprise at least one processor. The processor may be programmed to receive an image associated with the environment of the host vehicle. The processor may analyze the image to identify a side of a parked vehicle; a first structural feature of the parked vehicle in a forward region of the side of the parked vehicle or a second structural feature of the parked vehicle in a rear region of the side of the parked vehicle; and a door feature of the parked vehicle in a vicinity of the first or the second structural features. The processor may then determine, based on a subsequent image, a change of an image characteristic of the door feature of the parked vehicle and alter a navigational path of the host vehicle based on the change of the image characteristic.

    SYSTEMS AND METHODS FOR NAVIGATING LANE MERGES AND LANE SPLITS

    公开(公告)号:US20220283591A1

    公开(公告)日:2022-09-08

    申请号:US17824508

    申请日:2022-05-25

    Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system includes a processing device programmed to receive a plurality of images representative of an environment of the host vehicle. The environment includes a road on which the host vehicle is traveling. The at least one processing device is further programmed to analyze the images to identify a target vehicle traveling in a lane of the road different from a lane in which the host vehicle is traveling; analyze the images to identify a lane mark associated with the lane in which the target vehicle is traveling; detect lane mark characteristics of the identified lane mark; use the detected lane mark characteristics to determine a type of the identified lane mark; determine a characteristic of the target vehicle; and determine a navigational action for the host vehicle based on the determined lane mark type and the determined characteristic of the target vehicle.

    Determining lane position of a partially obscured target vehicle

    公开(公告)号:US11263771B2

    公开(公告)日:2022-03-01

    申请号:US17124426

    申请日:2020-12-16

    Inventor: Gideon Stein

    Abstract: A computing device including processor circuitry. The processor circuitry may perform operations comprising obtaining images representative of features within an environment of a host vehicle; identifying, from the images, a target object partially obscured in the environment; obtaining map data corresponding to the environment of the host vehicle, the map data comprising information of the features within the environment; localizing a position of the partially obscured target object within the environment based on comparing the features in the images to the information of the features obtained from the map data; and identifying a predicted trajectory of the partially obscured target object based on the localized position of the partially obscured target object within the environment.

    HAZARD DETECTION FROM A CAMERA IN A SCENE WITH MOVING SHADOWS

    公开(公告)号:US20210264176A1

    公开(公告)日:2021-08-26

    申请号:US17207206

    申请日:2021-03-19

    Abstract: Computerized methods are performable by a driver assistance system while the host vehicle is moving. The driver assistance system includes a camera connectible to a processor. First and second image frames are captured from the field of view of the camera. Corresponding image points of the road are tracked from the first image frame to the second image frame. Image motion between the corresponding image points of the road is processed to detect a hazard in the road. The corresponding image points are determined to be of a moving shadow cast on the road to avoid a false positive detection of a hazard in the road or the corresponding image points are determined not to be of a moving shadow cast on the road to verify detection of a hazard in the road.

    Safety system for a vehicle to detect and warn of a potential collision

    公开(公告)号:US11080538B2

    公开(公告)日:2021-08-03

    申请号:US15929905

    申请日:2020-05-28

    Abstract: A system mountable in a vehicle to provide object detection in the vicinity of the vehicle. The system includes a camera operatively attached to a processor. The camera is mounted externally at the rear of the vehicle. The field of view of the camera is substantially in the forward direction of travel of the vehicle along the side of the vehicle. Multiple image frames are captured from the camera. Yaw of the vehicle may be input or the yaw may be computed from the image frames. Respective portions of the image frames are selected responsive to the yaw of the vehicle. The image frames are processed to detect thereby an object in the selected portions of the image frames.

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