GLOBAL NAVIGATION SATELLITE SYSTEMS (GNSS) LOCALIZATION WITH RESIDUAL GRID REPRESENTATION

    公开(公告)号:US20250004142A1

    公开(公告)日:2025-01-02

    申请号:US18630717

    申请日:2024-04-09

    Abstract: In some implementations, a global navigation satellite system (GNSS) device may determine its approximate location, and, for each pseudorange measurement of a plurality of pseudorange measurements performed by the GNSS device: determine a location of a respective satellite vehicle (SV) that transmits a respective GNSS signal of which the pseudorange measurement is performed, and determine a respective residual grid, where the respective residual grid is based on respective information from the pseudorange measurement and the location of the respective SV, and the respective residual grid is indicative of possible locations of the GNSS device within a geographical region including the approximate location of the GNSS device. The GNSS device may aggregate the residual grids corresponding to at least a portion of the plurality of pseudorange measurements and may determine a location estimate of the GNSS device based on the aggregation of the residual grids.

    PERSONALIZED BIOMETRIC ANTI-SPOOFING PROTECTION USING MACHINE LEARNING AND ENROLLMENT DATA

    公开(公告)号:US20220327189A1

    公开(公告)日:2022-10-13

    申请号:US17658573

    申请日:2022-04-08

    Abstract: Certain aspects of the present disclosure provide techniques and apparatus for biometric authentication using neural-network-based anti-spoofing protection mechanisms. An example method generally includes receiving an image of a biometric data source for a user; extracting, through a first artificial neural network, features for at least the received image; combining the extracted features for the at least the received image and a combined feature representation of a plurality of enrollment biometric data source images; determining, using the combined extracted features for the at least the received image and the combined feature representation as input into a second artificial neural network, whether the received image of the biometric data source for the user is from a real biometric data source or a copy of the real biometric data source; and taking one or more actions to allow or deny the user access to a protected resource based on the determination.

Patent Agency Ranking