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公开(公告)号:US10012993B1
公开(公告)日:2018-07-03
申请号:US15835284
申请日:2017-12-07
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:US20180164825A1
公开(公告)日:2018-06-14
申请号:US15835284
申请日:2017-12-07
Applicant: Zendrive, Inc.
Inventor: Jonathan Matus , Pankaj Risbood
IPC: G05D1/02 , G05D1/00 , G08G1/01 , B60W40/09 , G08G1/0967
CPC classification number: G05D1/0214 , B60W30/00 , B60W40/09 , B64C39/02 , B64C39/024 , G05D1/0088 , G05D2201/0213 , G06K9/00791 , G06Q40/08 , G08G1/0112 , G08G1/096725 , 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:US20180077538A1
公开(公告)日:2018-03-15
申请号:US15702601
申请日:2017-09-12
Applicant: Zendrive, Inc.
Inventor: Jonathan Matus , Pankaj Risbood , Aditya Karnik , Manish Sachdev
IPC: H04W4/04 , G06F17/30 , B60R21/0132 , G08G1/16
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:US20180033220A1
公开(公告)日:2018-02-01
申请号:US15727972
申请日:2017-10-09
Applicant: Zendrive, Inc.
Inventor: Jayanta Pal , Bipul Islam , Romit Choudhury , Pankaj Risbood , Jonathan Matus , Vishal Verma
IPC: G07C5/02 , G08B25/01 , H04M1/725 , B60W40/10 , B60W30/08 , G08B25/00 , G07C5/00 , G06K9/00 , H04W4/04 , G08G1/01
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.
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公开(公告)号:US20170232963A1
公开(公告)日:2017-08-17
申请号:US15584375
申请日:2017-05-02
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.
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公开(公告)号:US11927447B2
公开(公告)日:2024-03-12
申请号:US17360769
申请日:2021-06-28
Applicant: Zendrive, Inc.
Inventor: Romit Roy Choudhury , Jayanta Pal , Pankaj Risbood , Jonathan Matus
CPC classification number: G01C21/165 , G01C21/30
Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.
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公开(公告)号:US20220286811A1
公开(公告)日:2022-09-08
申请号:US17827045
申请日:2022-05-27
Applicant: Zendrive, Inc.
Inventor: Jayanta Pal , Bipul Islam , Romit Roy Choudhury , Pankaj Risbood , Jonathan Matus , Vishal Verma
IPC: H04W4/02 , G07C5/02 , G07C5/00 , H04W4/029 , B60W40/10 , G08G1/01 , G08B25/00 , G08B25/01 , B60R25/24 , H04M1/72421 , G06V20/10 , G06V20/56 , G06V20/59 , G06N7/00 , G06Q40/08 , G07C5/08 , H04W4/40
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.
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公开(公告)号:US20210325187A1
公开(公告)日:2021-10-21
申请号:US17360769
申请日:2021-06-28
Applicant: Zendrive, Inc.
Inventor: Romit Roy Choudhury , Jayanta Pal , Pankaj Risbood , Jonathan Matus
Abstract: A method for primarily sensor-based navigation includes: in a first time period, collecting geophysical position data using a GPS receiver of a navigation device; in the first time period, collecting a first set of accelerometer data using an accelerometer of the navigation device; analyzing the first set of accelerometer data to produce a first set of vertical vehicular motion data; generating a mapping association between the first set of vertical vehicular motion data and the geophysical position data; in a second time period after the first time period, collecting a second set of accelerometer data using the accelerometer; analyzing the second set of accelerometer data to produce a second set of vertical vehicular motion data; and calculating an estimated location of the vehicle by analyzing the second set of vertical vehicular motion data in light of the mapping association.
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公开(公告)号:US11151813B2
公开(公告)日:2021-10-19
申请号:US16022120
申请日:2018-06-28
Applicant: Zendrive, Inc.
Inventor: Jonathan A. Matus , Pankaj Risbood , Aditya Karnik
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.
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公开(公告)号:US20210304593A1
公开(公告)日:2021-09-30
申请号:US17345411
申请日:2021-06-11
Applicant: Zendrive, Inc.
Inventor: Jonathan Matus , Pankaj Risbood
IPC: G08G1/01 , G06K9/00 , G08G1/0967 , H04W4/02
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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