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1.
公开(公告)号:US12000939B2
公开(公告)日:2024-06-04
申请号:US16340587
申请日:2017-03-20
Applicant: Google LLC
Inventor: Bhaskar Mehta , Chetan Bhadricha , Smruti Parichha , Jieru Cheng
CPC classification number: G01S19/50 , G01C21/206 , G01S5/0269
Abstract: Systems and methods for determining an improved user location using real world map data and/or sensor data are provided. In one embodiment, the method can include obtaining an initial estimate of a location of a user device and maps information corresponding to a geographic area at least partially surrounding the initial estimate of the location of the user device. The maps information can include one or more physical boundaries located at least in part within the geographic area at least partially surrounding the initial estimate. The method can further include determining a set of permissible areas that can potentially include the user device. The set of permissible areas can be determined based at least in part on the one or more physical boundaries. The method can further include revising the initial estimate to provide a revised estimate for the location of the user device based at least in part on the set of permissible areas.
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公开(公告)号:US20230418357A1
公开(公告)日:2023-12-28
申请号:US18243338
申请日:2023-09-07
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
CPC classification number: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04 , H04M2242/30
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US11782496B2
公开(公告)日:2023-10-10
申请号:US17975042
申请日:2022-10-27
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
CPC classification number: G06F1/3234 , G06F1/3209 , G06N20/00 , H04W8/10 , H04W60/04 , H04M2242/30
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US20200154392A1
公开(公告)日:2020-05-14
申请号:US16068568
申请日:2017-06-21
Applicant: Google LLC
Inventor: Ying Zhang , Gabriel Leblanc , Robert Fraser , Xiao Meng Zhang , Bhaskar Mehta
IPC: H04W64/00 , H04B17/318 , H04W24/10 , H04W76/11
Abstract: The technology relates to generating a wireless network access point model for determining locations within an area. In one example, a plurality of scan vectors, each scan vector representing a set of signal strengths for a set of wireless network access point identifiers and being associated with a location within the area at which a mobile device moving through the area measured the set of signal strengths are received. A set of clusters is generated by iterating through a split phase until the number of clusters in the set of clusters equals a maximum number of clusters or there are no bad scan vectors identified. A bad scan vector may include a vector having a vector difference from a center of a cluster to which that vector is assigned is less than a minimum similarity value. The set of cluster is then used to generate the model of the area.
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公开(公告)号:US11507172B2
公开(公告)日:2022-11-22
申请号:US16496225
申请日:2017-12-29
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US12242322B2
公开(公告)日:2025-03-04
申请号:US18243338
申请日:2023-09-07
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06F1/3209 , G06N20/00 , H04W8/10 , H04W60/04
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US20230050146A1
公开(公告)日:2023-02-16
申请号:US17975042
申请日:2022-10-27
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , G06N20/00 , G06F1/3209 , H04W8/10 , H04W60/04
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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公开(公告)号:US20200019228A1
公开(公告)日:2020-01-16
申请号:US16496225
申请日:2017-12-29
Applicant: Google LLC
Inventor: Alexander Varshavsky , Bhaskar Mehta , Brian Coopersmith , Giovanni Botta
IPC: G06F1/3234 , H04W60/04 , G06N20/00 , G06F1/3209 , H04W8/10
Abstract: The present disclosure provides a system for intelligently sampling information, such as location, activities, etc. on device. Sampling and uploading of background context is optimized using machine learning, such that battery usage is reduced, and quality of metrics based on the reported information is maintained or improved. A policy is generated based on the machine learning, the policy dictating how scanning and upload rates should change in response to conditions on the device.
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9.
公开(公告)号:US20240272308A1
公开(公告)日:2024-08-15
申请号:US18642564
申请日:2024-04-22
Applicant: Google LLC
Inventor: Bhaskar Mehta , Chetan Bhadricha , Smruti Parichha , Jieru Cheng
CPC classification number: G01S19/50 , G01C21/206 , G01S5/0269
Abstract: A method for revising an initial estimate of a location of a user device includes obtaining an initial estimate of a location of a user device; obtaining maps information corresponding to a first geographic area associated with the initial estimate, the first geographic area including one or more features; obtaining sensor data from one or more sensors; determining a mode of travel based on the sensor data; determining a set of permissible areas that can potentially include the user device, based on the one or more features of the first geographic area and the mode of travel; and revising the initial estimate to provide a revised estimate for the location of the user device when the set of permissible areas encompass a second geographic area which is different than the first geographic area associated with the initial estimate of the location of the user device.
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公开(公告)号:US10820296B2
公开(公告)日:2020-10-27
申请号:US16068568
申请日:2017-06-21
Applicant: Google LLC
Inventor: Ying Zhang , Gabriel Leblanc , Robert Fraser , Xiao Meng Zhang , Bhaskar Mehta
IPC: H04W64/00 , H04B17/318 , H04W76/11 , H04W24/10
Abstract: The technology relates to generating a wireless network access point model for determining locations within an area. In one example, a plurality of scan vectors, each scan vector representing a set of signal strengths for a set of wireless network access point identifiers and being associated with a location within the area at which a mobile device moving through the area measured the set of signal strengths are received. A set of clusters is generated by iterating through a split phase until the number of clusters in the set of clusters equals a maximum number of clusters or there are no bad scan vectors identified. A bad scan vector may include a vector having a vector difference from a center of a cluster to which that vector is assigned is less than a minimum similarity value. The set of cluster is then used to generate the model of the area.
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