Missing traffic face detector
    35.
    发明授权

    公开(公告)号:US12027043B2

    公开(公告)日:2024-07-02

    申请号:US17647815

    申请日:2022-01-12

    Abstract: Systems, devices, products, apparatuses, and/or methods, for detecting a missing traffic face, including: obtaining sensor data that includes a plurality of images associated with a geographic location including a roadway and associated with a plurality of image capture locations in the geographic location, determining in a subset of images of the plurality of images, a plurality of image areas associated with at least one predicted traffic face, determining a plurality of rays that project through 3-D spaces of the geographic location associated with the plurality of image areas from a subset of image capture locations of the plurality of image capture locations associated with the subset of images, and identifying at least one location of a traffic face in the geographic location based on a sum of unit vectors of the plurality of rays that project through the 3-D spaces of the geographic location at the at least one location of the traffic face.

    Multistage Autonomous Vehicle Motion Planning

    公开(公告)号:US20240166237A1

    公开(公告)日:2024-05-23

    申请号:US18465132

    申请日:2023-09-11

    CPC classification number: B60W60/0011 B60W40/04

    Abstract: Example methods for multistage autonomous vehicle motion planning include obtaining sensor data descriptive of an environment of the autonomous vehicle; identifying one or more objects in the environment based on the sensor data; generating a plurality of candidate strategies, wherein each candidate strategy of the plurality of candidate strategies comprises a set of discrete decisions respecting the one or more objects, wherein generating the plurality of candidate strategies includes: determining that at least two strategies satisfy an equivalence criterion, such that the plurality of candidate strategies include at least one candidate strategy corresponding to an equivalence class representative of a plurality of different strategies that are based on different discrete decisions; determining candidate trajectories respectively for the plurality of candidate strategies; and initiating control of the autonomous vehicle based on a selected candidate trajectory.

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