Telematics furtherance visualization system

US2016212589A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016212589-A1
Application numberUS-201514597667-A
CountryUS
Kind codeA1
Filing dateJan 15, 2015
Priority dateJan 15, 2015
Publication dateJul 21, 2016
Grant date

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

A method and apparatus for use in a mobile device telemetry system is disclosed. The method and apparatus relate to a telematics furtherance visualization system. The system can sense mobile device remote observation misalignment risk and reconcile mobile device remote observation alignment by communicating a subsequent log of mobile device vector data for rendering a sequence of next positions in the furtherance of a mobile device. The system can also provide an adaptive rendering based upon a phase shift, a log of mobile device vector data, or predictive rendering until receipt of the next subsequent log of mobile device vector data.

First claim

Opening claim text (preview).

What is claimed is: 1 . A telematics furtherance visualization method comprising: a first distributed process for a mobile device, a second distributed process for a remote device, said first distributed process and said second distributed process capable of communicating messages and data, said first distributed process capable to monitor said mobile device to log and communicate mobile device vector data to said remote device, said first distributed process capable to sense a mobile device remote observation misalignment risk and reconcile mobile device remote observation alignment, and said second distributed process capable to adaptive render a graphical image of said mobile device from said mobile device vector data. 2 . A telematics furtherance visualization method as in claim 1 wherein said mobile device remote observation misalignment risk includes mobile device remote observation alignment parameters, and wherein said adaptive render includes adaptive render parameters, and said mobile device remote observation alignment parameters and said adaptive render parameters are correlated. 3 . A telematics furtherance visualization method as in claim 2 wherein said reconcile mobile device remote observation alignment includes communicating a subsequent log of said mobile device vector data. 4 . A telematics furtherance visualization method as in claim 3 wherein said mobile device vector data comprises at least one data point of a position indication, a speed indication or a heading indication of said mobile device and at least one time stamp associated with each said data point. 5 . A telematics furtherance visualization method as in claim 3 wherein said mobile device remote observation alignment parameters are based upon at least one of a position limit, a speed limit, a heading limit or a path segment limit. 6 . A telematics furtherance visualization method as in claim 3 wherein said adaptive render parameters are based upon at least one of a phase shift, a data render, or a predictive render. 7 . A telematics furtherance visualization method as in claim 3 wherein said mobile device remote observation alignment parameters are based upon at least one of a position limit, a speed limit, a heading limit or a path segment limit, and wherein said adaptive render parameters are based upon at least one of a phase shift, a data render, or a predictive render. 8 . A telematics mobile device visualization method as in claim 7 wherein said path segment limit is 100 raw data points of mobile device vector data and wherein said phase shift is in the range between —4.5 second and —13.5 seconds. 9 . A telematics furtherance visualization method as in claim 7 wherein said path segment limit is 100 raw data points of mobile device vector data and wherein said phase shift is substantially −9 seconds. 10 . A telematics furtherance visualization method as in claim 3 wherein said mobile device remote observation alignment parameters are based upon a combination of at least two of a position limit, a speed limit, a heading limit, or a path segment limit. 11 . A telematics furtherance visualization method as in claim 3 wherein said adaptive render parameters are based upon a combination of at least two of a phase shift, a data render, or a predictive render. 12 . A telematics furtherance visualization method as in claim 3 wherein said mobile device remote observation alignment parameters and said adaptive render parameters are correlated to command a predictive render. 13 . A telematics furtherance visualization method as in claim 3 wherein said mobile device remote observation alignment parameters and said adaptive render parameters are calibrated to command a predictive render. 14 . A telematics furtherance visualization method as in claim 3 wherein said capable to sense a potential mobile device remote observation misalignment risk is based upon checking said mobile device remote observation alignment parameters. 15 . A telematics furtherance visualization method as in claim 14 wherein said checking said mobile device remote observation alignment parameters enables said reconcile mobile device remote observation alignment. 16 . A telematics furtherance visualization method as in claim 3 wherein said capable to adaptive render is based upon said adaptive render parameters. 17 . A telematics furtherance visualization method as in claim 14 wherein said checking said mobile device remote observation alignment parameters determines a mobile device remote observation misalignment risk based upon a position varying beyond a limit. 18 . A telematics furtherance visualization method as in claim 14 wherein said checking said mobile device remote observation alignment parameters determine a mobile device remote observation misalignment risk based upon a speed limit. 19 . A telematics furtherance visualization method as in claim 14 wherein said checking said mobile device remote observation alignment parameters determines a mobile device remote observation misalignment risk based upon a heading limit. 20 . A telematics furtherance visualization method as in claim 14 wherein said checking said mobile device remote observation alignment parameters determines a mobile device remote observation misalignment risk based upon a path segment represented by a number of raw data points. 21 . A telematics furtherance visualization method as in claim 3 wherein said mobile device remote observation alignment parameters and said adaptive render parameters may be recalibrated. 22 . A telematics furtherance visualization method as in claim 21 wherein said recalibrated is at least one of said mobile device remote observation alignment parameters or said adaptive render parameters. 23 . A telematics furtherance visualization method as in claims 3 , further including a heartbeat to further command a predictive render. 24 . A telematics mobile device visualization apparatus comprising: at least one mobile device, said at least one mobile device including a microprocessor, memory and firmware, said microprocessor, memory and firmware capable of executing a first distributed process, at least one remote device, said at least one remote device including a microprocessor, memory and software, said microprocessor, memory and software capable of executing a second distributed process, said at least one mobile device and said at least one remote device capable of communication, a first distributed process for a mobile device, a second distributed process for a remote device, said first distributed process and said second distributed process capable of communicating messages and data, said first distributed process capable to monitor said mobile device to log and communicate mobile device vector data to said remote device, said first distributed process capable to sense a mobile device remote observation misalignment risk and reconcile mobile device remote observation alignment, and said second distributed process capable to adaptive render a graphical image of said mobile device from said mobile device vector data. 25 . A telematics furtherance visualization apparatus as in claim 24 wherein said mobile device remote observation misalignment risk includes mobile device remote observation alignment parameters, and wherein said adaptive render includes adaptive render parameters, and said m

Assignees

Inventors

Classifications

  • using movement velocity, acceleration information · CPC title

  • from the vehicle, e.g. floating car data [FCD] · CPC title

  • communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

  • Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles · CPC title

  • Display of a road map (G01C21/3614 takes precedence; guidance using 3D or perspective road maps G01C21/3635) · CPC title

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What does patent US2016212589A1 cover?
A method and apparatus for use in a mobile device telemetry system is disclosed. The method and apparatus relate to a telematics furtherance visualization system. The system can sense mobile device remote observation misalignment risk and reconcile mobile device remote observation alignment by communicating a subsequent log of mobile device vector data for rendering a sequence of next positions…
Who is the assignee on this patent?
Geotab Inc, Geotab Inc
What technology area does this patent fall under?
Primary CPC classification H04W4/029. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Jul 21 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).