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Patent Agency Ranking
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：US20240246546A1
公开(公告)日：2024-07-25
申请号：US18597400
申请日：2024-03-06
Applicant: Geotab Inc.
Inventor： Yifeng Ge , Mohammad Salman Sabahi , Vinay Kiran Manjunath , Willem Petersen
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.
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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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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.
Inventor： Yifeng Ge , Mohammad Salman Sabahi , Vinay Kiran Manjunath , Willem Petersen
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.
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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.
Inventor： Yifeng Ge , Mohammad Salman Sabahi , Vinay Kiran Manjunath , Willem Petersen
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.
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