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11.
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.
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公开(公告)号:US20240192361A1
公开(公告)日:2024-06-13
申请号:US18416641
申请日:2024-01-18
Applicant: QUALCOMM Incorporated
Inventor: Radhika Dilip GOWAIKAR , Ravi Teja SUKHAVASI , Daniel Hendricus Franciscus DIJKMAN , Bence MAJOR , Amin ANSARI , Teck Yian LIM , Sundar SUBRAMANIAN , Xinzhou WU
IPC: G01S13/931 , G01S7/41 , G01S13/86 , G05D1/228 , G05D1/247 , G05D1/249 , G06F18/213 , G06F18/22 , G06F18/25 , G06T7/60 , G06V10/80 , G06V20/56
CPC classification number: G01S13/931 , G01S7/417 , G01S13/867 , G05D1/228 , G05D1/247 , G05D1/249 , G06F18/213 , G06F18/22 , G06F18/253 , G06T7/60 , G06V10/80 , G06V20/56 , G01S2013/9318 , G01S2013/93185 , G01S2013/9319 , G01S2013/9321 , G01S2013/93276 , G06T2207/10044 , G06T2207/30252
Abstract: Disclosed are techniques for fusing camera and radar frames to perform object detection in one or more spatial domains. In an aspect, an on-board computer of a host vehicle receives, from a camera sensor of the host vehicle, a plurality of camera frames, receives, from a radar sensor of the host vehicle, a plurality of radar frames, performs a camera feature extraction process on a first camera frame of the plurality of camera frames to generate a first camera feature map, performs a radar feature extraction process on a first radar frame of the plurality of radar frames to generate a first radar feature map, converts the first camera feature map and/or the first radar feature map to a common spatial domain, and concatenates the first radar feature map and the first camera feature map to generate a first concatenated feature map in the common spatial domain.
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13.
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
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.
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公开(公告)号:US20200175315A1
公开(公告)日:2020-06-04
申请号:US16698601
申请日:2019-11-27
Applicant: QUALCOMM Incorporated
Inventor: Radhika Dilip GOWAIKAR , Ravi Teja SUKHAVASI , Daniel Hendricus Franciscus FONTIJNE , Bence MAJOR , Amin ANSARI , Teck Yian LIM , Sundar SUBRAMANIAN , Xinzhou WU
IPC: G06K9/62 , G06K9/46 , G06T7/60 , G06K9/00 , G05D1/00 , G05D1/02 , G01S13/86 , G01S13/931 , G01S7/41
Abstract: Disclosed are techniques for fusing camera and radar frames to perform object detection in one or more spatial domains. In an aspect, an on-board computer of a host vehicle receives, from a camera sensor of the host vehicle, a plurality of camera frames, receives, from a radar sensor of the host vehicle, a plurality of radar frames, performs a camera feature extraction process on a first camera frame of the plurality of camera frames to generate a first camera feature map, performs a radar feature extraction process on a first radar frame of the plurality of radar frames to generate a first radar feature map, converts the first camera feature map and/or the first radar feature map to a common spatial domain, and concatenates the first radar feature map and the first camera feature map to generate a first concatenated feature map in the common spatial domain.
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