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公开(公告)号:US11134360B2
公开(公告)日:2021-09-28
申请号:US15486053
申请日:2017-04-12
Applicant: Cambridge Mobile Telematics Inc.
Inventor: Brad Cordova , Sanujit Sahoo , Sushrut Karnik
Abstract: A method of orienting a mobile device to a vehicle includes determining an orientation of a gravity vector and aligning a first axis of the mobile device with respect to the gravity vector. The method also includes determining an orientation of a magnetic direction and aligning a second axis of the mobile device with respect to the magnetic direction. The method further includes determining a direction of travel for the vehicle and orienting the mobile device to the vehicle.
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公开(公告)号:US20250148837A1
公开(公告)日:2025-05-08
申请号:US18915074
申请日:2024-10-14
Applicant: Cambridge Mobile Telematics Inc.
Inventor: Sushrut Karnik , Burak Erem , Yuting Qi , Sanujit Sahoo , Harrison Kitchen
Abstract: A method includes receiving, from a mobile device disposed within a vehicle, a set of sensor measurements collected from an accelerometer of the mobile device during a first time period and converting the set of sensor measurements into a frequency domain. The method also includes filtering the set of sensor measurements to eliminate high frequency sensor measurements and defining a set of contiguous windows based on a remaining sensor measurements in the set of sensor measurements. Each contiguous window of the set of contiguous windows represents a contiguous portion of the remaining sensor measurements. The method further includes generating, for each contiguous window of the set of contiguous windows, a set of features by resampling the remaining sensor measurements of the contiguous window at one or more predefined frequencies and generating an estimated speed of the vehicle during the first time period using the set of features.
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公开(公告)号:US12125321B2
公开(公告)日:2024-10-22
申请号:US18200718
申请日:2023-05-23
Applicant: CAMBRIDGE MOBILE TELEMATICS INC.
Inventor: Sushrut Karnik , Burak Erem , Yuting Qi , Sanujit Sahoo , Harrison Kitchen
CPC classification number: G07C5/008 , G01P15/08 , G01P15/18 , G06N3/04 , G06N3/08 , G07C5/02 , G07C2205/02
Abstract: A method includes receiving, from a mobile device disposed within a vehicle, a set of sensor measurements collected from an accelerometer of the mobile device during a first time period and converting the set of sensor measurements into a frequency domain. The method also includes filtering the set of sensor measurements to eliminate high frequency sensor measurements and defining a set of contiguous windows based on a remaining sensor measurements in the set of sensor measurements. Each contiguous window of the set of contiguous windows represents a contiguous portion of the remaining sensor measurements. The method further includes generating, for each contiguous window of the set of contiguous windows, a set of features by resampling the remaining sensor measurements of the contiguous window at one or more predefined frequencies and generating an estimated speed of the vehicle during the first time period using the set of features.
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公开(公告)号:US20240270276A1
公开(公告)日:2024-08-15
申请号:US18632149
申请日:2024-04-10
Applicant: CAMBRIDGE MOBILE TELEMATICS INC.
Inventor: Arash Hadapanah , Hari Balakrishnan , Rafi Finegold , Samuel Madden , Robert S. Kobetis , Brian Sachetta , Sanujit Sahoo , Gábor Tyukász
IPC: B60W50/16 , B60W50/14 , G08G1/0967
CPC classification number: B60W50/16 , G08G1/096733 , G08G1/096775 , B60W2050/143 , B60W2050/146
Abstract: A method including receiving, from sensor(s) of a mobile device in a driven vehicle, current speed of the vehicle, current travel direction of the vehicle, and current location of the vehicle with respect to a road network. The method including receiving contextual data indicating a plurality of triggering conditions located along road segment(s) present in the road network. The method including identifying a road segment of interest based on the current location and current travel direction of the vehicle. The method including identifying a triggering condition in a vicinity of the road segment of interest. The method including generating an alert related to the triggering condition, wherein generating the alert includes: determining an alert modality for the alert and a set of alert characteristics for the alert modality. The method including outputting the alert with the alert modality and set of alert characteristics to the user using the mobile device.
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公开(公告)号:US11987260B2
公开(公告)日:2024-05-21
申请号:US17862943
申请日:2022-07-12
Applicant: CAMBRIDGE MOBILE TELEMATICS INC.
Inventor: Arash Hadapanah , Hari Balakrishnan , Rafi Finegold , Samuel Madden , Robert S. Kobetis , Brian Sachetta , Sanujit Sahoo , Gábor Tyukász
IPC: B60W50/16 , G08G1/0967 , B60W50/14
CPC classification number: B60W50/16 , G08G1/096733 , G08G1/096775 , B60W2050/143 , B60W2050/146
Abstract: A method for providing proactive driving alerts includes determining a road segment of interest, receiving GPS data and contextual data, and identifying a triggering condition in a vicinity of the segment of interest. The method also includes determining an applicability of the triggering condition to the segment of interest, retrieving an alert threshold corresponding to the triggering condition, and obtaining an action factor correlating to a user's driving behavior. The method further includes determining whether the action factor exceeds the alert threshold and providing a proactive alert related to the triggering condition to the user.
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公开(公告)号:US11747143B2
公开(公告)日:2023-09-05
申请号:US17084364
申请日:2020-10-29
Applicant: Cambridge Mobile Telematics Inc.
Inventor: Brad Cordova , Sanujit Sahoo , Nicholas Arcolano , John Emhoff
CPC classification number: G01C21/1654 , G01C21/18 , G01C21/30 , H04W4/026 , H04W4/027 , H04W4/029 , H04W4/40
Abstract: Embodiments of the present invention provide systems and methods for combining sensor data to measure vehicle movement. Embodiments may collect vehicle and driving data using sensors of a mobile device of a user, such as a location determination sensor and a movement determination sensor. In some embodiments, the data from the sensors may be combined to more accurately estimate vehicle movement, such as vehicle acceleration.
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