PSEUDO LIDAR
    2.
    发明申请

    公开(公告)号:US20220327719A1

    公开(公告)日:2022-10-13

    申请号:US17809641

    申请日:2022-06-29

    Abstract: A navigation system for a host vehicle may include a processor programmed to: receive from a center camera onboard the host vehicle a captured center image including a representation of at least a portion of an environment of the host vehicle, receive from a left surround camera onboard the host vehicle a captured left surround image including a representation of at least a portion of the environment of the host vehicle, and receive from a right surround camera onboard the host vehicle a captured right surround image including a representation of at least a portion of the environment of the host vehicle; provide the center image, the left surround image, and the right surround image to an analysis module configured to generate an output relative to the at least one captured center image; and cause a navigational action by the host vehicle based on the generated output.

    ROAD VERTICAL CONTOUR DETECTION USING A STABILIZED COORDINATE FRAME
    3.
    发明申请
    ROAD VERTICAL CONTOUR DETECTION USING A STABILIZED COORDINATE FRAME 审中-公开
    使用稳定的坐标框架的道路垂直轮廓检测

    公开(公告)号:US20160253566A1

    公开(公告)日:2016-09-01

    申请号:US15055322

    申请日:2016-02-26

    Abstract: In some embodiments, a first homography, created from two images of a roadway, is decomposed to determine an ego-motion, and the ego-motion is used to adjust a previous estimate of a road plane. The adjusted previous estimate of the road plane is combined with the current estimate of the plane to create a second homography, and the second homography is used to determine residual motion and vertical deviation in the surface of the roadway. In some embodiments, multiple road profiles each corresponding to a common portion of a roadway are adjusted in slope and offset by optimizing a function having a data term, a smoothness term and a regularization term; and the adjusted road profiles are combined into a multi-frame road profile. In some embodiments, road profile information for a predetermined number of data points is transmitted in periodic data bursts, with more than one data point per data burst.

    Abstract translation: 在一些实施例中,从道路的两个图像创建的第一单应性分解被分解以确定自我运动,并且自我运动用于调整道路平面的先前估计。 道路平面的已调整的先前估计与当前的平面估计相结合以产生第二单应性,并且使用第二单应性来确定道路表面中的残余运动和垂直偏差。 在一些实施例中,通过优化具有数据项,平滑度项和正则化项的函数来对每个对应于道路的公共部分的多个道路剖面进行斜率和偏移量的调整; 并且调整后的道路轮廓被组合成多框架道路轮廓。 在一些实施例中,用于预定数量的数据点的道路简档信息在周期性数据突发中发送,每个数据突发具有多于一个数据点。

    LIDAR AND REM LOCALIZATION
    4.
    发明申请

    公开(公告)号:US20220333932A1

    公开(公告)日:2022-10-20

    申请号:US17809632

    申请日:2022-06-29

    Abstract: A navigation system for a host vehicle may include a processor programmed to: receive, from an entity remotely located relative to the host vehicle, a sparse map associated with at least one road segment to be traversed by the host vehicle; receive point cloud information from a LIDAR system onboard the host vehicle, the point cloud information being representative of distances to various objects in an environment of the host vehicle; compare the received point cloud information with at least one of the plurality of mapped navigational landmarks in the sparse map to provide a LIDAR-based localization of the host vehicle relative to at least one target trajectory; determine an navigational action for the host vehicle based on the LIDAR-based localization of the host vehicle relative to the at least one target trajectory; and cause the at least one navigational action to be taken by the host vehicle.

    EGO MOTION CORRECTION OF LIDAR OUTPUT

    公开(公告)号:US20220333927A1

    公开(公告)日:2022-10-20

    申请号:US17809589

    申请日:2022-06-29

    Abstract: A navigation system for a host vehicle may include a processor programmed to determine at least one indicator of ego motion of the host vehicle. A processor may be also programmed to receive, from a LIDAR system, a first point cloud including a first representation of at least a portion of an object and a second point cloud including a second representation of the at least a portion of the object. The processor may further be programmed to determine a velocity of the object based on the at least one indicator of ego motion of the host vehicle, and based on a comparison of the first point cloud, including the first representation of the at least a portion of the object, and the second point cloud, including the second representation of the at least a portion of the object.

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