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公开(公告)号:US20240275917A1
公开(公告)日:2024-08-15
申请号:US18420976
申请日:2024-01-24
Applicant: Geotab Inc.
Inventor: William John Ballantyne , Javed Siddique , Willem Petersen
IPC: H04N7/01
CPC classification number: H04N7/0127 , H04N7/0135
Abstract: A synchronized data set is generated from multiple asynchronous data sets. An interpolated data set is generated for each asynchronous data set, at a higher data rate than recorded data rates for the asynchronous data sets. The interpolated data for each data set is then sampled at a lower data rate which is common to all the interpolated data sets. The sampled data points are synchronized between the different data sets, such that the sampled data points represent a synchronized data set. Input telematic data can be reduced to inflection points in the telematic data, and interpolation and sampling of asynchronous data sets can be limited to threshold time periods around the inflection points.
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12.
公开(公告)号:US20240127695A1
公开(公告)日:2024-04-18
申请号:US18541882
申请日:2023-12-15
Applicant: Geotab Inc.
Inventor: Jack Graham Ellis , Willem Petersen , Sanghamesh Vastrad
IPC: G08G1/16 , B60W30/09 , B60W30/095
CPC classification number: G08G1/162 , B60W30/09 , B60W30/0953 , G08G1/166 , B60W2520/00 , B60W2556/50 , B60W2756/00
Abstract: Described herein are various techniques, including a system that uses high-rate acceleration data for computing an accident score indicative of a potential collision and triggering an action in response to determining that the accident score indicates a potential collision. The system is configured to filter out undesired high-rate acceleration trigger events such as noise and harsh braking events prior to determining the accident score. The accident score is based on contexts or scores computed from high-rate acceleration data, speed, and GPS data captured by a telematics monitor deployed in a vehicle.
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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:US20210389779A1
公开(公告)日:2021-12-16
申请号:US17008151
申请日:2020-08-31
Applicant: Geotab Inc.
Inventor: Robert Spencer Hockin , Willem Petersen , Robert Bradley
IPC: G05D1/02 , G05D1/00 , G06F16/9035 , H04W4/029
Abstract: Methods, systems, and devices for data capture trigger configuration for asset tracking are provided. Another example method capturing raw data involves obtaining a rich data capture trigger that defines when a controller of an asset tracking device onboard an asset is to identify and log an unsimplified block of raw data in raw data on the asset tracking device for rich data analysis, transmitting data capture instructions to the asset tracking device that contains the rich data capture trigger, and receiving the simplified set of raw data and the unsimplified block of raw data from the asset tracking device.
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公开(公告)号:US12208811B2
公开(公告)日:2025-01-28
申请号:US18597400
申请日:2024-03-06
Applicant: Geotab Inc.
Inventor: Yifeng Ge , Mohammad Salman Sabahi , Vinay Kiran Manjunath , Willem Petersen
Abstract: Disclosed herein are methods for determining an estimated weight of a vehicle. The methods comprise operating at least one processor to: receive vehicle data associated with the vehicle, the vehicle data comprising a plurality of vehicle parameters collected during operation of the vehicle; identify one or more vehicle maneuvers based on the vehicle data, each vehicle maneuver being associated with a portion of the vehicle data; and use at least one machine learning model to determine the estimated weight of the vehicle based on the portion of the vehicle data associated with each of the one or more vehicle maneuvers, the at least one machine learning model trained using training data associated with a plurality of previous vehicle maneuvers. Also disclosed are systems for implementing methods of the present disclosure.
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17.
公开(公告)号:US20240157934A1
公开(公告)日:2024-05-16
申请号:US18499707
申请日:2023-11-01
Applicant: Geotab Inc.
Inventor: Xin Zhang , Gregory Gordon Douglas Hines , Jiawei Yu , Willem Petersen , Tuhin Tiwari , Meenakshi Sundaram Murugesan , Javed Siddique , Jason Jiajie Yan , Narasimha Rao Durgam , Li Zhang
IPC: B60W30/095 , G07C5/00
CPC classification number: B60W30/0953 , G07C5/008
Abstract: Systems and methods for generating vehicle safety scores and vehicle collision probabilities are provided. The methods involve operating at least one processor to: retrieve vehicle data originating from a telematics device installed in a vehicle, the vehicle data including a plurality of safety exception events performed by the vehicle; determine a plurality of exception rates based on the vehicle data, each exception rate representing a normalized rate of occurrence of one of the exception event types; determine plurality of collision sub-probabilities using a plurality of collision probability models and the plurality of exception rates, each collision probability model associated with one of the exception event types and operable to predict one of the collision sub-probabilities based on one of the exception rates of the associated exception event type; and determine a collision probability for the vehicle based on the plurality of collision sub-probabilities.
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18.
公开(公告)号:US20230377462A1
公开(公告)日:2023-11-23
申请号:US18363340
申请日:2023-08-01
Applicant: Geotab Inc.
Inventor: Jack Graham Ellis , Willem Petersen , Sanghamesh Vastrad
IPC: G08G1/16 , B60W30/095 , B60W30/09
CPC classification number: G08G1/162 , B60W30/0953 , B60W30/09 , G08G1/166 , B60W2520/00 , B60W2756/00 , B60W2556/50
Abstract: Described herein are various techniques, including a method that uses high-rate acceleration data for computing an accident score indicative of a potential collision and triggering an action in response to determining that the accident score indicates a potential collision. The method includes filtering out undesired high-rate acceleration trigger events such as noise and harsh braking events prior to determining the accident score. The accident score is based on contexts or scores computed from high-rate acceleration data, speed, and GPS data captured by a telematics monitor deployed in a vehicle.
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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:US20210390497A1
公开(公告)日:2021-12-16
申请号:US17008106
申请日:2020-08-31
Applicant: Geotab Inc.
Inventor: Robert Spencer Hockin , Willem Petersen , Robert Bradley
Abstract: Methods, systems, and devices for data capture instructions for asset tracking are provided. An example method for capturing data involves obtaining raw data from a data source onboard an asset and monitoring the raw data for satisfaction of a simplified data capture trigger. When the simplified data capture trigger is satisfied, a dataset simplification algorithm is performed on the raw data to generate a simplified set of raw data, and the simplified set of raw data is logged. The method further involves monitoring the raw data for satisfaction of a rich data capture trigger. When the rich data capture trigger is satisfied, an unsimplified block of raw data is identified and logged for rich data analysis. The data is transmitted to a server. The unsimplified block of raw data contains raw data that is additional to the raw data contained in the simplified set of raw data.
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