公开(公告)号：US20230259600A1

公开(公告)日：2023-08-17

申请号：US18155408

申请日：2023-01-17

Applicant: QUALCOMM Incorporated

Inventor： Davide BELLI ,  Bence MAJOR ,  Amir JALALIRAD ,  Daniel Hendricus Franciscus DIJKMAN ,  Fatih Murat PORIKLI

IPC: G06F21/32

CPC classification number: G06F21/32

Abstract: Certain aspects of the present disclosure provide techniques and apparatus for biometric authentication using an anti-spoofing protection model refined using online data. The method generally includes receiving a biometric data input for a user. Features for the received biometric data input are extracted through a first machine learning model. It is determined, using the extracted features for the received biometric data input and a second machine learning model, whether the received biometric data input for the user is authentic or inauthentic. It is determined whether to add the extracted features for the received biometric data input, labeled with an indication of whether the received biometric data input is authentic or inauthentic, to a finetuning data set. The second machine learning model is adjusted based on the finetuning data set.

公开(公告)号：US20240295661A1

公开(公告)日：2024-09-05

申请号：US18177713

申请日：2023-03-02

Applicant: QUALCOMM Incorporated

Inventor： Amir JALALIRAD ,  Bence MAJOR ,  Davide BELLI ,  Songwon JEE ,  Himanshu SHAH ,  William MORRISON

IPC: G01S19/07 ,  G01S19/06 ,  G01S19/20

CPC classification number: G01S19/07 ,  G01S19/06 ,  G01S19/20

Abstract: A method of determining a position of a device includes obtaining an initial position of the device without using Global Navigation Satellite System (GNSS) satellites. GNSS measurements are taken of radio frequency (RF) signals transmitted by the GNSS satellites. Initial residuals are determined based, at least in part, on GNSS measured distances determined from the at least a portion of the GNSS measurements and expected distances determined from the initial position. Errors of the GNSS measurements based on the RF signals are estimated. An optimization is performed using some of the estimated errors to produce a modified set of residuals, wherein the optimization is further based on H, wherein H represents a matrix with trigonometric functions of a geometry of the GNSS satellites. A cost minimization method of the modified set of residuals and actual geometry of the GNSS satellites (H) to determine an improved position of the device.

公开(公告)号：US20250004142A1

公开(公告)日：2025-01-02

申请号：US18630717

申请日：2024-04-09

Applicant: QUALCOMM Incorporated

Inventor： Davide BELLI ,  Bence MAJOR ,  Amir JALALIRAD ,  Songwon JEE ,  Himanshu SHAH ,  William MORRISON

IPC: G01S19/42 ,  G01S19/39 ,  G01S19/40 ,  G06N3/0464

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.

公开(公告)号：US20220327189A1

公开(公告)日：2022-10-13

申请号：US17658573

申请日：2022-04-08

Applicant: QUALCOMM Incorporated

Inventor： Davide BELLI ,  Bence MAJOR ,  Daniel Hendricus Franciscus DIJKMAN ,  Fatih Murat PORIKLI

IPC: G06F21/32 ,  G06V10/82

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.