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公开(公告)号：US20200320867A1
公开(公告)日：2020-10-08
申请号：US16877963
申请日：2020-05-19
Applicant: Geotab Inc.
Inventor： Daniel Jacob Lewis , Xiaochen Zhang , Brenda Nguyen
IPC: G08G1/01
Abstract: Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.
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公开(公告)号：US20200320866A1
公开(公告)日：2020-10-08
申请号：US16877936
申请日：2020-05-19
Applicant: Geotab Inc.
Inventor： Daniel Jacob Lewis , Xiaochen Zhang , Brenda Nguyen
Abstract: Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.
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公开(公告)号：US20200320861A1
公开(公告)日：2020-10-08
申请号：US16448694
申请日：2019-06-21
Applicant: Geotab Inc.
Inventor： Daniel Jacob Lewis , Xiaochen Zhang , Brenda Nguyen
Abstract: Disclosed are systems and methods relating to determining geographic locations of vehicle ways which are employed by vehicles for movement and/or parking. A classifier may be defined for identifying portions of the vehicle ways via machine learning techniques and processing of historical telematic data.
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公开(公告)号：US10699564B1
公开(公告)日：2020-06-30
申请号：US16444228
申请日：2019-06-18
Applicant: Geotab Inc.
Inventor： Daniel Jacob Lewis , Xiaochen Zhang , Brenda Nguyen
Abstract: Disclosed are systems and methods relating to determining geographic locations of vehicle ways which are employed by vehicles for movement and/or parking. A classifier may be defined for identifying portions of the vehicle ways via machine learning techniques and processing of historical telematic data.
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公开(公告)号：US20200001865A1
公开(公告)日：2020-01-02
申请号：US16456077
申请日：2019-06-28
Applicant: Geotab Inc.
Inventor： Paul Stobbe , Stefania Talpa , Daniel Jacob Lewis , Jorge González Núñez , Ivan Lequerica Roca , Luis Alfonso Hernández Gómez
IPC: B60W30/09 , B60R21/0132 , B60R21/0134 , B60W30/095
Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.
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Patent Agency Ranking
公开(公告)号：US11758358B2
公开(公告)日：2023-09-12
申请号：US17202906
申请日：2021-03-16
Applicant: Geotab Inc.
Inventor： Paul Stobbe , Stefania Talpa , Daniel Jacob Lewis , Jorge González Núñez , Ivan Lequerica Roca , Luis Alfonso Hernández Gómez
IPC: B60W30/09 , B60R21/0134 , B60W30/095 , H04W4/02 , B60R21/0132
CPC classification number: H04W4/027 , B60R21/0132 , B60R21/0134 , B60W30/09 , B60W30/0953
Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.
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公开(公告)号：US20220164089A1
公开(公告)日：2022-05-26
申请号：US17529179
申请日：2021-11-17
Applicant: Geotab Inc.
IPC: G06F3/0484 , G07C5/00 , G06F16/28 , G06F16/29
Abstract: Systems and methods for grouping telematics vehicle data in one or more zones are provided herein. Systems and methods for generating zones and providing vehicle information associated with the one or more zones are also provided. Systems and methods for parallelizing zone generation and addressing zones disposed adjacent a boundary of a geographical are also provided.
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公开(公告)号：US11335191B2
公开(公告)日：2022-05-17
申请号：US16877982
申请日：2020-05-19
Applicant: Geotab Inc.
Inventor： Daniel Jacob Lewis , Xiaochen Zhang , Brenda Nguyen
Abstract: Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.
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公开(公告)号：US11335189B2
公开(公告)日：2022-05-17
申请号：US16877936
申请日：2020-05-19
Applicant: Geotab Inc.
Inventor： Daniel Jacob Lewis , Xiaochen Zhang , Brenda Nguyen
Abstract: Disclosed are systems and methods relating to defining a road network used by vehicles for movement and/or parking. A classifier may be employed for identifying portions of the road network via machine learning techniques and processing of historical telematic data.
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公开(公告)号：US10994728B2
公开(公告)日：2021-05-04
申请号：US17073916
申请日：2020-10-19
Applicant: Geotab Inc.
Inventor： Paul Stobbe , Stefania Talpa , Daniel Jacob Lewis , Jorge González Núñez , Ivan Lequerica Roca , Luis Alfonso Hernández Gómez
IPC: B60W30/09 , B60R21/0132 , B60W30/095 , B60R21/0134
Abstract: Described herein are examples of a system that processes information describing movement of a vehicle at a time related to a potential collision to reliably determine whether a collision occurred and/or one or more characteristics of the collision. In response to obtaining information regarding a potential collision, data describing movement of the vehicle before and/or after a time associated with the potential collision is analyzed to determine whether the collision occurred and/or to determine one or more collision characteristic(s). The analysis may be carried out at least in part using a trained classifier that classifies the vehicle movement data into one or more classes, where at least some the classes are associated with whether a collision occurred and/or one or more characteristics of a collision. If a collision is determined to be likely, one or more actions may be triggered based on the characteristic(s) of the collision.
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