CROWD-SOURCED 3D POINTS AND POINT CLOUD ALIGNMENT

    公开(公告)号:US20220383545A1

    公开(公告)日:2022-12-01

    申请号:US17824264

    申请日:2022-05-25

    Abstract: Systems and methods are provided for vehicle navigation. In one implementation, a host vehicle-based sparse map feature harvester system may include at least one processor programmed to receive a plurality of images captured by a camera onboard the host vehicle as the host vehicle travels along a road segment in a first direction, wherein the plurality of images are representative of an environment of the host vehicle; detect one or more semantic features represented in one or more of the plurality of images, the one or more semantic features each being associated with a predetermined object type classification; identify at least one position descriptor associated with each of the detected one or more semantic features; identify three-dimensional feature points associated with one or more detected objects represented in at least one of the plurality of images; receive position information, for each of the plurality of images, wherein the position information is indicative of a position of the camera when each of the plurality of images was captured; and cause transmission of drive information for the road segment to an entity remotely-located relative to the host vehicle, wherein the drive information includes the identified at least one position descriptor associated with each of the detected one or more semantic features, the identified three-dimensional feature points, and the position information.

    Using mapped elevation to determine navigational parameters

    公开(公告)号:US11276195B2

    公开(公告)日:2022-03-15

    申请号:US17247846

    申请日:2020-12-26

    Abstract: A system for navigating a host vehicle may include at least one processing device. The at least one processing device may be programmed to receive, from an image capture device, images representative of an environment of the host vehicle. The at least one processing device may also be programmed to analyze the images to identify features within the environment of the host vehicle. The at least one processing device may also be programmed to: obtain map data corresponding to the environment of the host vehicle, the map data comprising information of the features. The at least one processing device may also be programmed to match the features identified from the images with information of the features within the environment, obtained from the map data; and localize a position of the host vehicle within a roadway using the matched features and elevation information associated with the roadway.

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