Deformation correction of a digital map for a vehicle

    公开(公告)号:US12044546B2

    公开(公告)日:2024-07-23

    申请号:US16958212

    申请日:2017-12-27

    IPC分类号: G01C21/00 G06F16/29

    摘要: A method and an apparatus for correcting deformation of a digital map for a vehicle, includes loading a related part from the digital map; determining whether the related part includes road coordinate information in a first zone and road coordinate information in a second zone, wherein the road coordinate information in the first zone is associated with a first Cartesian coordinate system and the road coordinate information in the second zone is associated with a second Cartesian coordinate system; transforming the road coordinate information in the second zone to the first Cartesian coordinate system, if the related part includes the road coordinate information in the first zone and the road coordinate information in the second zone; and generating a corrected map by combining the road coordinate information in the first zone and the transformed road coordinate information in the second zone; wherein the first Cartesian coordinate system is the coordinate system of the vehicle for processing the road coordinate information.

    Method for determining the position of a vehicle

    公开(公告)号:US12025462B2

    公开(公告)日:2024-07-02

    申请号:US18047678

    申请日:2022-10-19

    IPC分类号: G01C21/00

    摘要: A computer implemented method for determining the position of a vehicle, wherein the method comprises: determining at least one scan comprising a plurality of detection points, wherein each detection point is evaluated from a signal received at the at least one sensor and representing a location in the vehicle environment; determining, from a database, a predefined map, wherein the map comprises a plurality of elements in a map environment, each of the elements representing a respective one of a plurality of static landmarks in the vehicle environment, and the map environment representing the vehicle environment; matching the plurality of detection points and the plurality of elements of the map; determining the position of the vehicle based on the matching; wherein the predefined map further comprises a spatial assignment of a plurality of parts of the map environment to the plurality of elements, and wherein the spatial assignment is used for the matching.

    Map matching method, apparatus and electronic device

    公开(公告)号:US12025447B2

    公开(公告)日:2024-07-02

    申请号:US17819394

    申请日:2022-08-12

    IPC分类号: G01C21/32 G01C21/00 G06N3/04

    摘要: A map matching method, an apparatus and an electronic device related to the technical field of artificial intelligence such as high-precision map, autonomous driving, internet of vehicles, and smart cockpit, where a specific implementation is: when matching a high-precision map with a standard-precision map, firstly acquire road network data corresponding to the high-precision map and the standard-precision map to be matched; and construct a first graph network based on the road network data corresponding to the high-precision map, and construct a second graph network based on the road network data corresponding to the standard-precision map, then determine a matching result between the high-precision map and the standard-precision map based on the first graph network and the second graph network. By the method using the graph network, the matching of the high-precision map with the standard-precision map can be accurately realized, thereby effectively improving accuracy of the matching result.

    SYSTEMS AND METHODS FOR EFFICIENT GRID-ESTIMATION OF SPHERICAL GEO-PROBABILITY FUNCTION

    公开(公告)号:US20240003709A1

    公开(公告)日:2024-01-04

    申请号:US18049109

    申请日:2022-10-24

    IPC分类号: G01C21/00

    摘要: A system of one embodiment provides for efficient grid-estimation of spherical geo-probability function. The system includes a memory and a processor. The system accesses data, wherein the data includes training points and each training point includes a latitude value and a longitude value. The system also generates one or more grid points around each training point in the data. The system calculates a probability value for each grid point in the plurality of grid points using a probability density function. The system also combines each grid point into a geo-grid. The systems stores the geo-grid. In some embodiments, the system combines each grid point into a geo-grid by adding a probability value of a first grid point to a probability value of second grid point.