公开(公告)号：US20210407225A1

公开(公告)日：2021-12-30

申请号：US17474591

申请日：2021-09-14

Applicant: Zendrive, Inc.

Inventor： Jonathan A. Matus ,  Pankaj Risbood ,  Aditya Karnik

IPC: G07C5/08 ,  G06N20/00 ,  G06Q30/02

Abstract: A method for characterizing a user associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a time period associated with movement of the vehicle; extracting a set of movement features associated with movement of at least one of the user and the vehicle during the time period; and determining one or more user characteristics describing the user based on the set of movement features, wherein the one or more user characteristics include a classification of the user as at least one of a passenger and a driver for the time period associated with movement of the vehicle.

公开(公告)号：US20210329432A1

公开(公告)日：2021-10-21

申请号：US17363498

申请日：2021-06-30

Applicant: Zendrive, Inc.

Inventor： Jonathan Matus ,  Pankaj Risbood

IPC: H04W4/40 ,  G01C21/20 ,  G01S19/51 ,  G01S5/00 ,  G01S19/42 ,  G01C21/16

Abstract: A method for monitoring vehicle motion using a mobile device associated with a user including collecting activity data at a mobile device associated with the user; determining a user activity state based on the activity data; determining motion data collection parameters associated with an operating state of the mobile device, based on the user activity state; and collecting motion data at the mobile device based on the motion data collection parameters.

公开(公告)号：US10678250B2

公开(公告)日：2020-06-09

申请号：US16000675

申请日：2018-06-05

Applicant: Zendrive, Inc.

Inventor： Jonathan Matus ,  Pankaj Risbood

IPC: G05D1/02 ,  G05D1/00 ,  G08G1/01 ,  G08G1/0967 ,  B60W40/09 ,  B60W30/00 ,  B60W50/00 ,  B64D11/06 ,  B64C39/02 ,  G08G5/00 ,  G06Q40/08 ,  G06K9/00 ,  G06K9/62

Abstract: A method for adaptive risk modeling for an autonomous vehicle, the method comprising: retrieving parameters of an identified driving mission of the autonomous vehicle; in response to the parameters of the identified driving mission, generating values of: a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with a comparative autonomous model, a mix model, a sensor-surrounding model, a geography-dependent model, and a security risk model generated using sensor and supplementary data extraction systems associated with the autonomous vehicle; upon generating values, generating a risk analysis with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.

公开(公告)号：US09955319B2

公开(公告)日：2018-04-24

申请号：US15702601

申请日：2017-09-12

Applicant: Zendrive, Inc.

Inventor： Jonathan Matus ,  Pankaj Risbood ,  Aditya Karnik ,  Manish Sachdev

IPC: B60R21/0132 ,  H04W4/04 ,  G08G1/16 ,  H04W4/02 ,  B60R21/00 ,  B60R21/01

CPC classification number: H04W4/40 ,  B60R21/0132 ,  B60R2021/0027 ,  B60R2021/01013 ,  G08G1/162 ,  H04W4/023 ,  H04W4/026 ,  H04W4/046

Abstract: Embodiments of a method for improving movement characteristic determination using a plurality of mobile devices associated with a vehicle can include: collecting a first movement dataset corresponding to at least one of a first location sensor and a first motion sensor of a first mobile device of the plurality of mobile devices; collecting a second movement dataset corresponding to at least one of a second location sensor and a second motion sensor of a second mobile device of the plurality of mobile devices; determining satisfaction of a device association condition indicative of the first and the second mobile devices as associated with the vehicle, based on the first and the second movement datasets; and after determining the satisfaction of the device association condition, determining a vehicle movement characteristic based on the first and the second movement datasets.

公开(公告)号：US20170053461A1

公开(公告)日：2017-02-23

申请号：US15243565

申请日：2016-08-22

Applicant: Zendrive, Inc.

Inventor： Jayanta Pal ,  Bipul Islam ,  Romit Roy Choudhury ,  Pankaj Risbood ,  Jonathan Matus ,  Vishal Verma

IPC: G07C5/02 ,  G08G1/01 ,  H04W4/04 ,  G07C5/00

CPC classification number: B60W30/08 ,  B60R25/24 ,  B60R2325/205 ,  B60W40/10 ,  G06K9/00664 ,  G06K9/00791 ,  G06K9/00845 ,  G06K2009/00939 ,  G06N7/005 ,  G06Q40/08 ,  G07C5/008 ,  G07C5/02 ,  G07C5/0808 ,  G07C5/0866 ,  G08B25/00 ,  G08B25/001 ,  G08B25/006 ,  G08B25/016 ,  G08G1/012 ,  G08G1/0129 ,  H04M1/72538 ,  H04M2250/12 ,  H04W4/046 ,  H04W4/40 ,  H04W88/00

Abstract: A method and system for detecting an accident of a vehicle, the method including: receiving a movement dataset collected at least at one of a location sensor and a motion sensor arranged within the vehicle, during a time period of movement of the vehicle, extracting a set of movement features associated with at least one of a position, a velocity, and an acceleration characterizing the movement of the vehicle during the time period, detecting a vehicular accident event from processing the set of movement features with an accident detection model, and in response to detecting the vehicular accident event, automatically initiating an accident response action.

Abstract translation: 一种用于检测车辆事故的方法和系统，所述方法包括：在车辆的移动时间段期间，接收在布置在车辆内的位置传感器和运动传感器中的至少一个处收集的移动数据集，提取 一组运动特征与在该时间段内表征车辆运动的位置，速度和加速度中的至少一个相关联，通过事故检测模型检测车辆事故事件处理该组运动特征，并且 响应检测车辆事故事件，自动启动事故响应动作。

公开(公告)号：US11878720B2

公开(公告)日：2024-01-23

申请号：US16861723

申请日：2020-04-29

Applicant: Zendrive, Inc.

Inventor： Jonathan Matus ,  Pankaj Risbood

IPC: B60W60/00 ,  G08G1/01 ,  G08G1/0967 ,  B60W40/09 ,  B60W30/00 ,  B60W50/00 ,  B64D11/06 ,  B64C39/02 ,  G08G5/00 ,  G06Q40/08 ,  G05D1/00 ,  G06V20/56 ,  G06V40/20 ,  G06F18/00 ,  G06F18/23 ,  B60W50/08

CPC classification number: B60W60/00188 ,  B60W30/00 ,  B60W40/09 ,  B60W50/0098 ,  B60W60/0053 ,  B60W60/0059 ,  B64D11/0624 ,  G08G1/0112 ,  G08G1/096725 ,  B60W50/082 ,  B60W2050/0075 ,  B60W2420/403 ,  B60W2420/52 ,  B60W2554/406 ,  B60W2554/4026 ,  B60W2554/4029 ,  B60W2554/4046 ,  B60W2555/20 ,  B60W2556/10 ,  B60W2556/50 ,  B64C39/02 ,  B64C39/024 ,  G05D1/00 ,  G05D2201/0213 ,  G06F18/00 ,  G06F18/23 ,  G06Q40/08 ,  G06V20/56 ,  G06V40/20 ,  G08G5/00 ,  G08G5/003

Abstract: A method for adaptive risk modeling for an autonomous vehicle, the method comprising: retrieving parameters of an identified driving mission of the autonomous vehicle; in response to the parameters of the identified driving mission, generating values of: a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with a comparative autonomous model, a mix model, a sensor-surrounding model, a geography-dependent model, and a security risk model generated using sensor and supplementary data extraction systems associated with the autonomous vehicle; upon generating values, generating a risk analysis with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.

公开(公告)号：US20230393619A1

公开(公告)日：2023-12-07

申请号：US18236832

申请日：2023-08-22

Applicant: Zendrive, Inc.

Inventor： Jonathan A. Matus ,  Pankaj Risbood

IPC: G06F1/16 ,  B60W40/09 ,  B60W40/107 ,  G06F3/01 ,  G06F3/0482 ,  G06F17/18 ,  G06F3/04883 ,  G06F18/24 ,  G06V10/764 ,  G06V20/59

CPC classification number: G06F1/1626 ,  B60W40/09 ,  B60W40/107 ,  G06F3/011 ,  G06F3/017 ,  G06F3/0482 ,  G06F17/18 ,  G06F3/04883 ,  G06F18/24 ,  G06V10/764 ,  G06V20/597 ,  B60W2520/105

Abstract: A method for monitoring device usage includes: receiving user device information; based on the user interaction data, determining a state associated with the user device; and based on the state of the user device, determining a set of tap parameters. Additionally or alternatively, the method can include any or all of: determining a risk score based on at least on the set of tap parameters; determining an output based on the risk score; and/or any other suitable processes performed in any suitable order.

公开(公告)号：US11735037B2

公开(公告)日：2023-08-22

申请号：US17345411

申请日：2021-06-11

Applicant: Zendrive, Inc.

Inventor： Jonathan Matus ,  Pankaj Risbood

IPC: G08G1/00 ,  H04W4/00 ,  G06V20/56 ,  G08G1/01 ,  G08G1/0967 ,  H04W4/02 ,  G06V20/58

CPC classification number: G08G1/0133 ,  G06V20/56 ,  G06V20/584 ,  G08G1/012 ,  G08G1/0112 ,  G08G1/0129 ,  G08G1/0967 ,  G08G1/096716 ,  G08G1/096741 ,  G08G1/096775 ,  H04W4/027

Abstract: A method for traffic characterization associated with a vehicle including collecting a movement dataset sampled at least at one of a location sensor and a motion sensor associated with the vehicle, during a driving session associated with movement of the vehicle; extracting a set of features from the movement dataset associated with movement of the vehicle during the driving session; and determining one or more traffic-related characteristics associated with the vehicle based on the set of features.

公开(公告)号：US11380193B2

公开(公告)日：2022-07-05

申请号：US16716915

申请日：2019-12-17

Applicant: Zendrive, Inc.

Inventor： Jonathan A. Matus ,  Pankaj Risbood

IPC: G08G1/01 ,  G08G1/0967

Abstract: A method for improving vehicular traffic-related communications between devices including: collecting a first movement dataset corresponding to a sensor of a device arranged within a vehicle; collecting a supplementary dataset from the device; transmitting the movement dataset and supplementary dataset from the device to a remote computing system; determining a traffic-related event based upon processing the movement dataset and supplementary dataset with a traffic event model; and transmitting a traffic-related communication from the remote computing system to a second device associated with a second user arranged in a second vehicle.

公开(公告)号：US20200257300A1

公开(公告)日：2020-08-13

申请号：US16861723

申请日：2020-04-29

Applicant: Zendrive, Inc.

Inventor： Jonathan Matus ,  Pankaj Risbood

IPC: G05D1/02 ,  B64D11/06 ,  B60W50/00 ,  B60W30/00 ,  B60W40/09 ,  G08G1/0967 ,  G08G1/01 ,  G05D1/00

Abstract: A method for adaptive risk modeling for an autonomous vehicle, the method comprising: retrieving parameters of an identified driving mission of the autonomous vehicle; in response to the parameters of the identified driving mission, generating values of: a comparative autonomous parameter, a mix model parameter, a surrounding risk parameter, a geographic operation parameter, and a security risk parameter upon evaluating situational inputs associated with the identified driving mission with a comparative autonomous model, a mix model, a sensor-surrounding model, a geography-dependent model, and a security risk model generated using sensor and supplementary data extraction systems associated with the autonomous vehicle; upon generating values, generating a risk analysis with a rule-based algorithm; and contemporaneously with execution of the identified driving mission, implementing a response action associated with control of the autonomous vehicle, based upon the risk analysis.