Systems and methods for determining an estimated weight of a vehicle

    公开(公告)号:US12291215B2

    公开(公告)日:2025-05-06

    申请号:US17979119

    申请日:2022-11-02

    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.

    DATA CAPTURE INSTRUCTIONS FOR ASSET TRACKING

    公开(公告)号:US20230252412A1

    公开(公告)日:2023-08-10

    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 FOR CHARACTERIZING A VEHICLE COLLISION

    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.

    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.

    SYSTEMS AND METHODS FOR DETERMINING AN ESTIMATED WEIGHT OF A VEHICLE

    公开(公告)号:US20240246546A1

    公开(公告)日:2024-07-25

    申请号:US18597400

    申请日:2024-03-06

    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:US11640577B2

    公开(公告)日:2023-05-02

    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.

    Methods for characterizing a low-impact vehicle collision using high-rate acceleration data

    公开(公告)号:US12148301B2

    公开(公告)日:2024-11-19

    申请号:US18541882

    申请日:2023-12-15

    Applicant: Geotab Inc.

    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.

Patent Agency Ranking