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公开(公告)号:US20220198305A1
公开(公告)日:2022-06-23
申请号:US17381708
申请日:2021-07-21
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Samantha Anne Waring , Ivan Li , Jialin Zhu
Abstract: Disclosed is a computing platform including a memory assembly having encoded thereon executable control-logic instructions configured to be executable by the computing platform, and also configured to urge the computing platform to carry out a method comprising receiving data; and detecting at least one anomaly contained in the data that was received.
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公开(公告)号:US20240071230A1
公开(公告)日:2024-02-29
申请号:US18504481
申请日:2023-11-08
Applicant: Geotab Inc.
Inventor: Willem Petersen , Harjot Singh Parmar , Amish Vijay Patel , Meghan Frances Fotak , Paul Stobbe , Robert Spencer Hockin
CPC classification number: G08G1/166 , G06F18/2431 , G06Q40/08 , G06V20/58 , G06V20/588 , G06V20/597 , G08G1/167
Abstract: Described herein are examples of a computerized method that comprises: in response to obtaining information regarding a potential collision between a vehicle and an object, obtaining data describing the vehicle for a time period extending before and after a time of the potential collision. The method may determine a likelihood that the potential collision is a non-collision event based on the data describing the vehicle by performing one or more assessments. The assessments may include telematics monitor assessment, driver behavior assessment, road surface feature assessment, trip correlation assessment, and/or context assessment. In response to determining that the likelihood indicates that the potential collision is not a non-collision event, the method may trigger one or more actions responding to the potential collision.
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公开(公告)号:US20230392942A1
公开(公告)日:2023-12-07
申请号:US18234675
申请日:2023-08-16
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Weinan Sun , Michael Angelo David Santorelli , James David Johnston , Ian Grzegorczyk
CPC classification number: G01C21/3469 , G01C21/3605
Abstract: Systems and methods for tracking and evaluating fuel consumptions of vehicles are provided. The method can involve operating a telematics device installed in the vehicle to: collect fuel data from at least one fuel data source of the vehicle; track, for each fuel data source, a cumulative amount of fuel consumed by the vehicle; determine a confidence level of each fuel data source; identify an initial fuel data source; generate a plurality of mid-trip fuel records; identify a final fuel data source based on a priority of each fuel data source and each confidence level of each fuel data source; determine whether the plurality of mid-trip fuel records is valid; and transmit the plurality of mid-trip fuel records and an indication of whether the plurality of mid-trip fuel records is valid to a fleet management system.
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公开(公告)号:US20220397612A1
公开(公告)日:2022-12-15
申请号:US17827854
申请日:2022-05-30
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Daniel J. Lewis , Jialin Zhu , Mark Jeffrey Davidson
IPC: G01R31/3835 , G07C5/08
Abstract: The present disclosure relates to systems and methods for analyzing health of vehicle batteries and vehicle electrical systems. Vehicle batteries, as well as other components of a vehicle electrical system, tend to degrade over time, and eventually fail. The described systems and methods generate an electrical system metric based on electrical data from a plurality of vehicles. Electrical system performance of individual vehicles is compared to the generated electrical system metric, to determine electrical system performance of vehicles relative to other similar vehicles.
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公开(公告)号:US20220197890A1
公开(公告)日:2022-06-23
申请号:US17381678
申请日:2021-07-21
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Samantha Anne Waring , Ivan Li , Jialin Zhu
Abstract: Disclosed is a computing platform including a memory assembly having encoded thereon executable control-logic instructions configured to be executable by the computing platform, and also configured to urge the computing platform to carry out a method comprising receiving data; and detecting at least one anomaly contained in the data that was received.
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公开(公告)号:US20250052825A1
公开(公告)日:2025-02-13
申请号:US18925321
申请日:2024-10-24
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Daniel J. Lewis , Jialin Zhu , Mark Jeffrey Davidson
IPC: G01R31/3835 , G07C5/08
Abstract: The present disclosure relates to systems and methods for analyzing health of vehicle batteries and vehicle electrical systems. Vehicle batteries, as well as other components of a vehicle electrical system, tend to degrade over time, and eventually fail. The described systems and methods generate an electrical system metric based on electrical data from a plurality of vehicles. Electrical system performance of individual vehicles is compared to the generated electrical system metric, to determine electrical system performance of vehicles relative to other similar vehicles.
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公开(公告)号:US12153093B2
公开(公告)日:2024-11-26
申请号:US17961884
申请日:2022-10-07
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Daniel J. Lewis , Jialin Zhu , Mark Jeffrey Davidson
IPC: G01R31/3835 , G07C5/08
Abstract: The present disclosure relates to systems and methods for analyzing health of vehicle batteries and vehicle electrical systems. Vehicle batteries, as well as other components of a vehicle electrical system, tend to degrade over time, and eventually fail. The described systems and methods generate an electrical system metric based on electrical data from a plurality of vehicles. Electrical system performance of individual vehicles is compared to the generated electrical system metric, to determine electrical system performance of vehicles relative to other similar vehicles.
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公开(公告)号:US12021713B2
公开(公告)日:2024-06-25
申请号:US17973074
申请日:2022-10-25
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Samantha Anne Waring , Ivan Li , Jialin Zhu
IPC: G06F11/00 , G06F18/214 , G06F18/2321 , G07C5/08 , H04L43/04 , H04L43/067 , H04L43/0817
CPC classification number: H04L43/067 , G06F18/214 , G06F18/2321 , G07C5/0808 , G07C5/0816 , H04L43/04 , H04L43/0817
Abstract: Disclosed is a computing platform including a memory assembly having encoded thereon executable control-logic instructions configured to be executable by the computing platform, and also configured to urge the computing platform to carry out a method comprising receiving data; and detecting at least one anomaly contained in the data that was received.
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公开(公告)号:US11971268B2
公开(公告)日:2024-04-30
申请号:US17897643
申请日:2022-08-29
Applicant: Geotab Inc.
Inventor: Meghan Frances Fotak , Weinan Sun , Michael Angelo David Santorelli , James David Johnston , Ian Grzegorczyk
CPC classification number: G01C21/3469 , G01C21/3605
Abstract: Systems and methods for tracking and evaluating fuel consumptions of vehicles are provided. The method can involve operating a telematics device installed in the vehicle to: collect fuel data from at least one fuel data source of the vehicle; track, for each fuel data source, a cumulative amount of fuel consumed by the vehicle; determine a confidence level of each fuel data source; identify an initial fuel data source; generate a plurality of mid-trip fuel records; identify a final fuel data source based on a priority of each fuel data source and each confidence level of each fuel data source; determine whether the plurality of mid-trip fuel records is valid; and transmit the plurality of mid-trip fuel records and an indication of whether the plurality of mid-trip fuel records is valid to a fleet management system.
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公开(公告)号:US11884285B2
公开(公告)日:2024-01-30
申请号:US17404784
申请日:2021-08-17
Applicant: Geotab Inc.
Inventor: Willem Petersen , Harjot Singh Parmar , Amish Vijay Patel , Meghan Frances Fotak , Paul Stobbe , Robert Spencer Hockin
IPC: B60W50/035 , B60W30/09 , B60W50/02 , G07C5/08
CPC classification number: B60W50/035 , B60W30/09 , B60W50/0205 , G07C5/085 , B60W2050/0215 , B60W2520/105 , B60W2520/125 , B60W2552/35 , B60W2720/10 , B60W2720/12 , B60W2720/24
Abstract: Described herein are various techniques, including systems and non-transitory instructions, that, in response to obtaining information regarding a potential collision between a vehicle and an object, obtain data describing the vehicle for a time period extending before and after a time of the potential collision. The system may determine a likelihood that the potential collision is a non-collision event based on the data describing the vehicle by performing one or more assessments. The assessments may include telematics monitor assessment, driver behavior assessment, road surface feature assessment, trip correlation assessment, and/or context assessment. In response to determining that the likelihood indicates that the potential collision is not a non-collision event, the system may trigger one or more actions responding to the potential collision.
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