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公开(公告)号:US20220242427A1
公开(公告)日:2022-08-04
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
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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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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公开(公告)号:US20220246036A1
公开(公告)日:2022-08-04
申请号:US17404816
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
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:US11862022B2
公开(公告)日:2024-01-02
申请号:US17404816
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
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:US20230150517A1
公开(公告)日:2023-05-18
申请号:US17979119
申请日:2022-11-02
Applicant: Geotab Inc.
Inventor: Willem Petersen , Harjot Singh Parmar , Muhammad Junaid Gill , Mohammad Salman Sabahi , Daniel J. Lewis , Vinay Kiran Manjunath , Yifeng Ge
CPC classification number: B60W40/13 , B60W50/045 , B60W2520/105 , B60W2050/0028
Abstract: Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.
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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:US11525728B1
公开(公告)日:2022-12-13
申请号:US17532209
申请日:2021-11-22
Applicant: Geotab Inc.
Inventor: Willem Petersen , Harjot Singh Parmar , Muhammad Junaid Gill
Abstract: Systems and methods for determining an estimated weight of a vehicle are provided. The system includes at least one data storage and at least one processor. The at least one data storage is configured to store vehicle data associated with the vehicle. The at least one processor is configured to: identify a plurality of vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data, each portion of the vehicle data comprising a measured torque profile; generate a plurality of simulated torque profiles for each vehicle maneuver; generate a plurality of error profiles, an error profile being generated for each vehicle maneuver based on differences between the plurality of simulated torque profiles and the measured torque profile corresponding to that vehicle maneuver; and determine the estimated weight of the vehicle based on the plurality of error profiles.
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