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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
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.
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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.
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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
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.
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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
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。
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公开(公告)号:US20240098466A1
公开(公告)日:2024-03-21
申请号:US18520016
申请日:2023-11-27
Applicant: Zendrive, Inc.
Inventor: Jonathan Matus , Rankaj Risbood
CPC classification number: H04W4/40 , G01C21/165 , G01C21/20 , G01S5/0018 , G01S19/42 , G01S19/51 , H04W4/38
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.
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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.
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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
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.
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公开(公告)号:US11734963B2
公开(公告)日:2023-08-22
申请号:US17348006
申请日:2021-06-15
Applicant: Zendrive, Inc.
Inventor: Jonathan Matus
CPC classification number: G07C5/008 , G10L25/48 , H04Q9/00 , H04W4/027 , H04W4/40 , H04W4/44 , H04W76/10 , H04Q2209/50 , H04W88/04
Abstract: A system and method for a telematic application on a mobile electronic device that can include detecting, in the telematic application, vehicular travel; collecting, in the telematic application, driver status identification data; determining a driver status based on the driver status identification data; recording the driver status; and recording telematic data based on the driver status.
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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
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.
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公开(公告)号:US20190208384A1
公开(公告)日:2019-07-04
申请号:US16297268
申请日:2019-03-08
Applicant: Zendrive, Inc.
Inventor: Jonathan Matus , Pankaj Risbood
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.
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