Systems, devices, and methods for synchronizing data from asynchronous sources

    公开(公告)号:US12284461B2

    公开(公告)日:2025-04-22

    申请号:US18420976

    申请日:2024-01-24

    Applicant: Geotab Inc.

    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.

    Systems and methods for determining an estimated weight of a vehicle

    公开(公告)号:US12036998B2

    公开(公告)日:2024-07-16

    申请号:US18111951

    申请日:2023-02-21

    Applicant: Geotab Inc.

    CPC classification number: B60W40/13 G07C5/008 B60W2556/10 B60W2556/45

    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.

    Data capture instructions for asset tracking

    公开(公告)号:US12026667B2

    公开(公告)日:2024-07-02

    申请号:US18134466

    申请日:2023-04-13

    Applicant: Geotab Inc.

    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.

    SYSTEMS AND METHODS FOR DETERMINING AN ESTIMATED WEIGHT OF A VEHICLE

    公开(公告)号:US20240109548A1

    公开(公告)日:2024-04-04

    申请号:US18111951

    申请日:2023-02-21

    Applicant: Geotab Inc.

    CPC classification number: B60W40/13 G07C5/008 B60W2556/10 B60W2556/45

    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.

    Data capture trigger configuration for asset tracking

    公开(公告)号:US11550337B2

    公开(公告)日:2023-01-10

    申请号:US17008151

    申请日:2020-08-31

    Applicant: Geotab Inc.

    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.

    Systems and methods for determining an estimated weight of a vehicle

    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.

    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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