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1.
公开(公告)号:US20240133702A1
公开(公告)日:2024-04-25
申请号:US18379495
申请日:2023-10-11
Applicant: Zendrive, Inc.
Inventor: Gerry Goldstein , Manish Kumar , Prateek Gupta , Christopher Damon , Jayanta Kumar Pal , Mustansir Mama , Nitin Dileep Salodkar , Shivam Singh
IPC: G01C21/34
CPC classification number: G01C21/3484 , G01C21/3438
Abstract: A system for driver risk analysis includes and/or interfaces with: a processing subsystem, a set of sensors, and a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a software platform, a set of client applications, a set of user devices, and/or any other components. A method for driver risk analysis can include any or all of: collecting a set of data; analyzing the set of data to determine a set of features; analyzing the set of data to produce a set of driver risk outputs; and triggering a set of actions based on the set of driver risk outputs. Additionally or alternatively, the method can include any or all of: determining eligibility criteria associated with a set of end entities; modifying any or all of the collection of data and/or the analysis of data and/or the driver risk outputs based on the eligibility criteria; training and/or updating a set of models and/or algorithms; and/or any other processes.
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公开(公告)号:US20240095844A1
公开(公告)日:2024-03-21
申请号:US18519504
申请日:2023-11-27
Applicant: Zendrive, Inc.
Inventor: Nitin Dileep Salodkar , Nikhil Mudaliar , Jayanta Kumar Pal , Pankaj Risbood , Jonathan Matus
CPC classification number: G06Q40/08 , G06N20/00 , G06V10/809 , G06V20/56 , G07C5/008 , G07C5/0808 , G07C5/0841 , G06F18/2148
Abstract: A system for accident reconstruction can include and/or be configured to interface with any or all of: a set of models, a set of modules, a processing system, client application, a user device (equivalently referred to herein as a mobile device), a set of sensors, a vehicle, and/or any other suitable components. A method for accident reconstruction includes collecting a set of inputs; detecting a collision and/or one or more features of the collision; reconstructing the collision; and producing an output based on the reconstruction. Additionally or alternatively, the method can include training a set of models and/or modules, and/or any other suitable processes.
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3.
公开(公告)号:US20240230355A9
公开(公告)日:2024-07-11
申请号:US18379495
申请日:2023-10-12
Applicant: Zendrive, Inc.
Inventor: Gerry Goldstein , Manish Kumar , Prateek Gupta , Christopher Damon , Jayanta Kumar Pal , Mustansir Mama , Nitin Dileep Salodkar , Shivam Singh
IPC: G01C21/34
CPC classification number: G01C21/3484 , G01C21/3438
Abstract: A system for driver risk analysis includes and/or interfaces with: a processing subsystem, a set of sensors, and a set of models and/or algorithms. Additionally or alternatively, the system can include and/or interface with any or all of: a software platform, a set of client applications, a set of user devices, and/or any other components. A method for driver risk analysis can include any or all of: collecting a set of data; analyzing the set of data to determine a set of features; analyzing the set of data to produce a set of driver risk outputs; and triggering a set of actions based on the set of driver risk outputs. Additionally or alternatively, the method can include any or all of: determining eligibility criteria associated with a set of end entities; modifying any or all of the collection of data and/or the analysis of data and/or the driver risk outputs based on the eligibility criteria; training and/or updating a set of models and/or algorithms; and/or any other processes.
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公开(公告)号:US11928739B2
公开(公告)日:2024-03-12
申请号:US17222406
申请日:2021-04-05
Applicant: Zendrive, Inc.
Inventor: Nitin Dileep Salodkar , Nikhil Mudaliar , Jayanta Kumar Pal , Pankaj Risbood , Jonathan Matus
CPC classification number: G06Q40/08 , G06N20/00 , G06V10/809 , G06V20/56 , G07C5/008 , G07C5/0808 , G07C5/0841 , G06F18/2148
Abstract: A system for accident reconstruction can include and/or be configured to interface with any or all of: a set of models, a set of modules, a processing system, client application, a user device (equivalently referred to herein as a mobile device), a set of sensors, a vehicle, and/or any other suitable components. A method for accident reconstruction includes collecting a set of inputs; detecting a collision and/or one or more features of the collision; reconstructing the collision; and producing an output based on the reconstruction. Additionally or alternatively, the method can include training a set of models and/or modules, and/or any other suitable processes.
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公开(公告)号:US20210225094A1
公开(公告)日:2021-07-22
申请号:US17222406
申请日:2021-04-05
Applicant: Zendrive, Inc.
Inventor: Nitin Dileep Salodkar , Nikhil Mudaliar , Jayanta Kumar Pal , Pankaj Risbood , Jonathan Matus
Abstract: A system for accident reconstruction can include and/or be configured to interface with any or all of: a set of models, a set of modules, a processing system, client application, a user device (equivalently referred to herein as a mobile device), a set of sensors, a vehicle, and/or any other suitable components. A method for accident reconstruction includes collecting a set of inputs; detecting a collision and/or one or more features of the collision; reconstructing the collision; and producing an output based on the reconstruction. Additionally or alternatively, the method can include training a set of models and/or modules, and/or any other suitable processes.
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公开(公告)号:US10997800B1
公开(公告)日:2021-05-04
申请号:US17155939
申请日:2021-01-22
Applicant: Zendrive, Inc.
Inventor: Nitin Dileep Salodkar , Nikhil Mudaliar , Jayanta Kumar Pal , Pankaj Risbood , Jonathan Matus
Abstract: A system for accident reconstruction can include and/or be configured to interface with any or all of: a set of models, a set of modules, a processing system, client application, a user device (equivalently referred to herein as a mobile device), a set of sensors, a vehicle, and/or any other suitable components. A method for accident reconstruction includes collecting a set of inputs; detecting a collision and/or one or more features of the collision; reconstructing the collision; and producing an output based on the reconstruction. Additionally or alternatively, the method can include training a set of models and/or modules, and/or any other suitable processes.
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