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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：US20250035457A1
公开(公告)日：2025-01-30
申请号：US18885909
申请日：2024-09-16
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 , Vinay Kiran Manjunath , Xinrong Zhou , Yujie Chen , Chenyue Xu , Luis Perez Vazquez
Abstract: Systems and methods for predicting 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 location data and a plurality of safety exception events performed by the vehicle, the plurality of safety exception events including a plurality of exception event types; identify a plurality of road network edges traveled by the vehicle based on the location data; determine an aggregated area collision rate based on the plurality of road network edges; 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; and determine a collision probability using at least one machine learning model on the plurality of exception rates and the aggregated area collision rate, the collision probability representing a risk of collision.
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Patent Agency Ranking
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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4.发明申请公开(公告)号：US20250118204A1
公开(公告)日：2025-04-10
申请号：US18906612
申请日：2024-10-04
Applicant: Geotab Inc.
Inventor： Xinrong Zhou , Vinay Kiran Manjunath , Jiawei Yu , Meenakshi Sundaram Murugesan , Tuhin Tiwari , Willem Petersen , Xin Zhang , Gregory Gordon Douglas Hines
Abstract: Disclosed herein are systems and methods for predicting collision risk associated with a roadway intersection. The methods may comprise operating at least one processor to: receive map data and telematics data originating from telematics devices installed in a plurality of vehicles; identify, using the map data, one or more roadway intersections; determine, using the telematics data and/or map data, for each of the one or more roadway intersections, one or more roadway intersection metrics thereof; determine a hazard rating for each roadway of each roadway intersection; and generate a collision probability for each roadway intersection by inputting into a machine learning model the one or more roadway intersection metrics and the hazard rating of each roadway thereof, the collision probability representing a risk of collision for a vehicle traversing the intersection.
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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：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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