Autonomous location of objects in a mobile reference frame

• US 8,996,036 B2
• Filed: 02/09/2012
• Issued: 03/31/2015
• Est. Priority Date: 02/09/2012
• Status: Active Grant

• Current Assignee: Southwest Research Institute
• Original Assignee: Southwest Research Institute
• Inventors: Whipple, John G., Wilmes, Theodore R., Anderson, Brian K.
• Primary Examiner(s): SAMS, MATTHEW C
• Application Number:
  US13/369,954
• Publication Number:
  US 20130210405A1
• Time in Patent Office: 1,146 Days
• Field of Search: 4554561-457, 455/565, 455/569.2, 455/412.1, 455/412.2, 455/59, 455/61, 455/70, 455/456.4
• US Class Current: 455/456.4
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information

Abstract

An apparatus and method for estimating a location of an object within a mobile reference frame. Sensor data is received from an accelerometer associated with an object followed by determining from the sensor data that the mobile reference frame is executing one of a set of predetermined maneuvers. In response to such determination: (1) the sensor data is applied to a mathematical model associated with the executed maneuver, the model trained with previously obtained data from one or more reference accelerometers positioned at known locations within the mobile reference frame and estimating the location of the object by applying the sensor data to the mathematical model; and/or (2) incorporating reference accelerometers in the mobile reference frame and comparing the sensor data with the reference accelerometers and estimating the location of the object.

Claims

1. A method for estimating a location of an object within a mobile reference frame comprising:

receiving sensor data from an accelerometer associated with said object;

determining from said sensor data that said mobile reference frame is executing one of a set of pre-determined maneuvers;

in response to said determining one of a set of predetermined maneuvers,

applying said sensor data to a mathematical model associated with said executed maneuver, said model being trained with previously obtained data from one or more reference accelerometers positioned at known locations within said mobile reference frame;

estimating said location of said object by applying said sensor data to said mathematical model;

receiving sensor data from at least one reference accelerometer positioned at a known location within said mobile vehicle reference frame;

comparing the sensor data received from the accelerometer associated with the object to the sensor data received from the at least one reference accelerometer; and

refining the location estimate for the object based on the comparison.

2. The method of claim 1, wherein said set of pre-determined maneuvers includes at least one of a right turn, a left turn, accelerating or decelerating.

3. The method of claim 1, wherein said mobile reference frame is a vehicle.

4. The method of claim 1, wherein said object has the ability to provide selected functionality to a user and said estimated location of said object is evaluated and said selected functionality is enabled or disabled.

5. The method of claim 1, wherein said object is a mobile phone having texting or email functionality.

6. The method of claim 5, further comprising disabling texting or email capability of said mobile phone in response to estimating said location to be a driver'"'"'s position within a vehicle associated with said mobile reference frame.

7. The method of claim 1 wherein said object reports its position to a location tracking system.

8. An apparatus for estimating a location of an object within a mobile reference frame comprising:

an accelerometer configured to provide acceleration data associated with said object;

a maneuver detection module configured to determine from said acceleration data that said mobile reference frame is executing one of said pre-determined maneuvers; and

a location estimation module configured to;

apply said acceleration data to a mathematical model associated with said executed maneuver, said model being trained with previously obtained data from one or more reference accelerometers positioned at known locations within said mobile reference frame;

estimate said location of said object by applying said sensor data to said mathematical model, wherein the location estimation module is further configured to;

receive sensor data from at least one reference accelerometer positioned at a known location within said mobile vehicle reference frame;

compare the sensor data received from the accelerometer associated with the object to the sensor data received from the at least one reference accelerometer; and

refine the location estimate for the object based on the comparison.

9. The apparatus of claim 8, wherein said mobile reference frame is a vehicle.

10. The apparatus of claim 8 wherein said object has the ability to provide selected functionality to a user and said estimated location of said object is evaluated and said selected functionality is enabled or disabled.

11. The apparatus of claim 8, wherein said object is a mobile phone having texting or email functionality and said accelerometer is integrated with said mobile phone.

12. The apparatus of claim 11, further comprising a controller module configured to disable texting or email functionality of said mobile phone in response to estimating said location to be a driver'"'"'s position within a vehicle associated with said mobile reference frame.

13. The apparatus of claim 8, further comprising one or more additional accelerometers positioned at locations within said mobile reference frame, said additional accelerometers configured to provide additional current acceleration data associated with said object for use in said maneuver detection and said location estimation.

14. An article comprising a non-transitory storage medium having stored thereon instructions that when executed by a machine result in the following operations:

receiving sensor data from an accelerometer associated with said object;

determining from said sensor data that said mobile reference frame is executing one of a set of pre-determined maneuvers;

in response to said determining that said mobile reference frame is executing one set of predetermined maneuvers, carrying out the following;

applying said sensor data to a mathematical model associated with said executed maneuver, said model being trained with previously obtained data from one or more reference accelerometers positioned at known locations within said mobile reference frame;

estimating said location of said object by applying said sensor data to said mathematical model;

receiving sensor data from at least one reference accelerometer positioned at a known location within said mobile vehicle reference frame;

comparing the sensor data received from the accelerometer associated with the object to the sensor data received from the at least one reference accelerometer; and

refining the location estimate for the object based on the comparison.

15. The article of claim 14 wherein said set of pre-determined maneuvers includes at least one of a right turn, a left turn, accelerating or deceleration.

16. The article of claim 14 wherein said mobile reference frame is a vehicle.

17. The article of claim 14 wherein said object has the ability to provide a selected functionality to a user and said estimated location of said object is evaluated and said selected functionality is enabled or disabled.

18. The article of claim 14 wherein said object is a mobile phone having texting or email functionality.

19. The article of claim 18 wherein said operations further comprise disabling texting or email functionality of said mobile phone in response to estimating said location to be a driver'"'"'s position within a vehicle associated with said mobile reference frame.