Telematics furtherance visualization system

• US 10,623,904 B2
• Filed: 06/28/2018
• Issued: 04/14/2020
• Est. Priority Date: 01/15/2015
• Status: Active Grant

• Current Assignee: GeoTab Incorporated
• Original Assignee: GeoTab Incorporated
• Inventors: Cawse, Neil Charles, Venter, Pieter Albert, Basiuk, Ilya
• Primary Examiner(s): Arevalo, Joseph
• Application Number:
  US16/021,081
• Publication Number:
  US 20180317051A1
• Time in Patent Office: 656 Days
• Field of Search: 455 8, 4554561, 455 73, 455 634, 455110, 455323, 455306, 455 6711, 455418
• CPC Class Codes: G01C 21/3667 Display of a road map G01C21/3614 takes precedence; guidance using 3D or perspective road maps G01C21/3635
• CPC Class Codes: G06T 1/20 Processor architectures; Processor configuration, e.g. pipelining
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs
• CPC Class Codes: G06T 2200/16 involving adaptation to the client's capabilities
• CPC Class Codes: G06T 2200/28 involving image processing hardware
• CPC Class Codes: G07B 15/00 Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points handling coins or valuable papers, e.g. banknotes, G07D; apparatus for vending or hiring articles or services activated by coins, credit cards, paper currency or the like G07F7/00, G07F17/00
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/052 with provision for determining speed or overspeed speed measuring in general G01P
• CPC Class Codes: G08G 1/20 Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

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.

Claims

1. A telematics furtherance visualization method comprising:

providing a first distributed process for a mobile device,

providing a second distributed process for a remote device, said first distributed process communicating data to said second distributed process,

said first distributed process monitoring said mobile device, said first distributed process logging mobile device vector data of said mobile device and communicating the mobile device vector data of said mobile device to said remote device, and said first distributed process sensing a mobile device-remote observation misalignment risk when the mobile device enters a segment of travel of increased risk that the remote observation of the mobile device at the remote device will be misaligned from the path of travel of the mobile device, wherein said first distributed process reconciling mobile device-remote observation alignment to align the path of travel of the mobile device with the remote observation of the mobile device at the remote device.

2. A telematics furtherance visualization method as in claim 1, wherein said second distributed process adaptive rendering on a map of said remote device a graphical image of said mobile device based on said mobile device vector data.

3. 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 second distributed process adaptive rendering on a map of said remote device a graphical image of said mobile device based on said mobile device vector data, wherein said adaptive rendering includes adaptive render parameters, and said method further comprises correlating said mobile device-remote observation alignment parameters and said adaptive render parameters.

4. A telematics furtherance visualization method as in claim 3, wherein said reconciling mobile device-remote observation alignment to align the path of travel of the mobile device with the remote observation of the mobile device at the remote device includes communicating a subsequent log of said mobile device vector data of said mobile device to said remote device.

5. A telematics furtherance visualization method as in claim 4, 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.

6. A telematics furtherance visualization method as in claim 4, 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.

7. A telematics furtherance visualization method as in claim 4, 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 furtherance visualization method as in claim 4, 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.

9. A telematics furtherance visualization method as in claim 4, 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.

10. A telematics furtherance visualization method as in claim 4, 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.

11. A telematics furtherance visualization method as in claim 4, further comprising correlating said mobile device-remote observation alignment parameters and said adaptive render parameters to command a predictive render.

12. A telematics furtherance visualization method as in claim 4, further comprising calibrating said mobile device-remote observation alignment parameters and said adaptive render parameters to command a predictive render.

13. A telematics furtherance visualization method as in claim 4, wherein sensing a potential mobile device-remote observation misalignment risk is based upon checking said mobile device remote observation alignment parameters.

14. A telematics furtherance visualization method as in claim 13, wherein said checking said mobile device-remote observation alignment parameters enables reconciling mobile device-remote observation alignment.

15. A telematics furtherance visualization method as in claim 4, wherein said adaptive rendering is based upon said adaptive render parameters.

16. A telematics furtherance visualization method as in claim 4, further comprising recalibrating said mobile device-remote observation alignment parameters and said adaptive render parameters.

17. A telematics furtherance visualization method as in claim 4, further comprising recalibrating at least one of said mobile device-remote observation alignment parameters or said adaptive render parameters.

18. A telematics furtherance visualization method as in claim 4, further comprising communicating a heartbeat message to said remote device to further command a predictive render.

19. 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 capable of communicating data to said second distributed process,

said first distributed process capable to monitor said mobile device to log mobile device vector data of said mobile device and communicate the mobile device vector data of said mobile device to said remote device, said first distributed process capable to sense a mobile device-remote observation misalignment risk when the mobile device enters a segment of travel of increased risk that the remote observation of the mobile device at the remote device will be misaligned from the path of travel of the mobile device,

wherein said first distributed process capable to reconcile mobile device-remote observation alignment to align the path of travel of the mobile device with the remote observation of the mobile device at the remote device.

20. A telematics furtherance visualization apparatus as in claim 19, wherein said second distributed process capable to adaptive render on a map of said remote device a graphical image of said mobile device based on said mobile device vector data.

21. A telematics furtherance visualization apparatus as in claim 19, wherein said mobile device-remote observation misalignment risk includes mobile device-remote observation alignment parameters,

and wherein said second distributed process capable to adaptive render on a map of said remote device a graphical image of said mobile device based on said mobile device vector data, wherein said adaptive render includes adaptive render parameters, and said mobile device-remote observation alignment parameters and said adaptive render parameters are correlated.

22. A telematics furtherance visualization apparatus as in claim 21, wherein said reconcile mobile device remote observation alignment to align the path of travel of the mobile device with the remote observation of the mobile device at the remote device includes communicate a subsequent log of said mobile device vector data of said mobile device to said remote device.

23. A telematics furtherance visualization apparatus as in claim 22, 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.

24. A telematics furtherance visualization apparatus as in claim 22, 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.

25. A telematics furtherance visualization apparatus as in claim 22, wherein said adaptive render parameters are based upon at least one of a phase shift, a data render, or a predictive render.

26. A telematics furtherance visualization apparatus as in claim 22, 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.

27. A telematics furtherance visualization apparatus as in claim 22, 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.

28. A telematics furtherance visualization apparatus as in claim 22, wherein said mobile device-remote observation alignment parameters and said adaptive render parameters are correlated to command a predictive render.

29. A telematics furtherance visualization apparatus as in claim 22, wherein said mobile device-remote observation alignment parameters and said adaptive render parameters are calibrated to command a predictive render.

30. A telematics furtherance visualization apparatus as in claim 22, wherein said capable to sense a potential mobile device-remote observation misalignment risk is based upon checking said mobile device remote observation alignment parameters.

31. A telematics furtherance visualization apparatus as in claim 30, wherein said checking said mobile device-remote observation alignment parameters enables said reconcile mobile device remote observation alignment.

32. A telematics furtherance visualization apparatus as in claim 22, wherein said capable to adaptive render is based upon said adaptive render parameters.

33. A telematics furtherance visualization apparatus as in claim 22, wherein said mobile device-remote observation alignment parameters and said adaptive render parameters are recalibrated.

34. A telematics furtherance visualization apparatus as in claim 22, wherein at least one of said mobile device remote observation alignment parameters or said adaptive render parameters is recalibrated.

35. A telematics furtherance visualization apparatus as in claim 22, further including a heartbeat message communicated to said remote device to further command a predictive render.