Positioning method and apparatus
    1.
    发明授权

    公开(公告)号:US11841446B2

    公开(公告)日:2023-12-12

    申请号:US17214630

    申请日:2021-03-26

    CPC classification number: G01S19/45 G01S17/42 G01S17/86

    Abstract: The present application discloses a positioning method and an apparatus, which relate to the technical field of intelligent driving. A specific implementation solution is: determining a first positioning result using point cloud data collected by lidar in combination with a laser point cloud reflection value map; constructing a constraint condition using the first positioning result, where the constraint condition is used to accelerate a convergence speed of solving a receiver position using observation data; performing GNSS-PPP positioning using the constraint condition in combination with observation data of a GNSS receiver to obtain a second positioning result. Using this solution, lidar positioning technology is combined with GNSS-PPP positioning technology to realize a purpose of not relying on a GNSS base station.

    Method and apparatus for annotating virtual lane at crossing

    公开(公告)号:US11447153B2

    公开(公告)日:2022-09-20

    申请号:US17339016

    申请日:2021-06-04

    Inventor: Yang Liu Shiyu Song

    Abstract: A method and apparatus for annotating a virtual lane at a crossing is provided, which relates to the field of intelligent transportation, and specifically includes: calculating a virtual connecting probability of various lanes that do not connected to each other at the crossing based on driving trajectory data of a vehicles that passing through the crossing within a detection time, and generating the virtual lane at the crossing for two disconnected lanes whose virtual connecting probability is greater than a threshold, and annotating the virtual lane on a map. In this process, the virtual lane at the crossing can be automatically generated according to the driving trajectory data of the vehicles passing through the crossing, and because the driving trajectory data of the vehicles passing through the crossing is real trajectory data, which is more in conformity with actual driving rules of the vehicles, and has a higher annotation accuracy.

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