SYSTEMS, DEVICES, AND METHODS FOR SYNCHRONIZING DATA FROM ASYNCHRONOUS SOURCES

    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.

    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.

    DATA CAPTURE TRIGGER CONFIGURATION FOR ASSET TRACKING

    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.

    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:US12208811B2

    公开(公告)日:2025-01-28

    申请号:US18597400

    申请日:2024-03-06

    Applicant: Geotab Inc.

    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.

    METHODS FOR CHARACTERIZING A VEHICLE COLLISION

    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.

    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.

    DATA CAPTURE INSTRUCTIONS FOR ASSET TRACKING

    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.

    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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