METHODS AND APPARATUSES FOR USE IN MOBILE DEVICE STATE/TRAJECTORY ESTIMATION WITHIN AN INDOOR ENVIRONMENT

• US 20130191019A1
• Filed: 01/23/2012
• Published: 07/25/2013
• Est. Priority Date: 01/23/2012
• Status: Abandoned Application

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Pakzad, Payam
• Application Number:
  US13/356,140
• Publication Number:
  US 20130191019A1
• Time in Patent Office: Days
• US Class Current: 701/454
• CPC Class Codes: G01C 21/206 specially adapted for indoor navigation
• CPC Class Codes: G01S 5/0278 involving statistical or probabilistic considerations G01S5/0252, G01S5/0294 take precedence
• CPC Class Codes: G01S 5/0294 Trajectory determination or predictive filtering, e.g. target tracking or Kalman filtering
• CPC Class Codes: H04W 4/026 using orientation information, e.g. compass
• CPC Class Codes: H04W 4/33 for indoor environments, e.g. buildings

Abstract

Various techniques are provided which may be implemented in one or more methods, apparatuses, and/or articles of manufacture for use with and/or in a mobile device to obtain this date/trajectory estimation us within an indoor environment. In an example, a mobile device may apply a motion model to propagate an estimated state of the mobile device from a first state corresponding to a first location of an electronic map representing an indoor environment to a second state corresponding to a second location of the electronic map, based, at least in part, on one or more sensed parameters. The mobile device may further validate the estimated state as propagated in response to a determination that a trajectory from the first location to the second location crosses a transition feature of a barrier presented by at least one obstacle identified in the electronic map.

Claims

1. A method of estimating a state of a mobile device comprising, with the mobile device:

applying a motion model to propagate an estimated state of said mobile device from a first state corresponding to a first location of an electronic map representing an indoor environment to a second state corresponding to a second location of said electronic map, based, at least in part, on one or more sensed parameters; and

validating said estimated state as propagated in response to a determination that a trajectory from said first location to said second location crosses a transition feature of a barrier presented by at least one obstacle identified in said electronic map.

2. The method as recited in claim 1, and further comprising with said mobile device:

determining whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a routability graph corresponding to said electronic map.

3. The method as recited in claim 2, wherein said routability graph represents a discrete quantization of a plane overlaying said electronic map, and comprises a plurality of discrete points wherein adjacent points are connected by an edge if there are no intervening obstacles identified in said electronic map between said adjacent points, and further comprising, with said mobile device:

identifying at least one of said plurality of discrete points with at least one of said first location or said second location; and

determining whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is proximate to said transition feature of said barrier.

4. The method as recited in claim 1, wherein said transition feature comprises at least one of:

a terminus portion of said at least one obstacle;

a corner portion of said at least one obstacle;

a faceted portion of said at least one obstacle;

a curved or non-planar portion of said at least one obstacle;

a distal portion of said at least one obstacle;

a portion of said at least one obstacle forming part of an entryway;

or a portion of said at least one obstacle forming part of a doorway.

5. The method as recited in claim 1, wherein said transition feature of said barrier comprises a cross-sectional area portion of said at least one obstacle having a cross-sectional area measurement that is less than a cross-sectional area threshold value.

6. The method as recited in claim 1, wherein at least one of said one or more sensed parameters is based, at least in part, on at least one of:

an inertial sensor measurement;

an environmental sensor measurement;

or a received wireless signal measurement.

7. The method as recited in claim 1, wherein said motion model comprises a particle filter.

8. The method as recited in claim 3, and further comprising, with said mobile device:

determining whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is within a threshold distance of said transition feature.

9. The method as recited in claim 8, wherein said threshold distance is determined based, at least in part, on at least one distance between discrete points represented in said routability graph.

10. The method as recited in claim 9, wherein said threshold distance is less than or equal to said at least one distance between said discrete points represented in said routability graph.

11. The method as recited in claim 8, wherein said threshold distance is based, at least in part, on a type of obstacle associated with said barrier.

12. The method as recited in claim 8, wherein said threshold distance is based, at least in part, on a motion state associated with said mobile device.

13. The method as recited in claim 1, and further comprising, with said mobile device:

determining an estimated position location of said mobile device within said indoor environment based, at least in part, on a validated estimated state of said mobile device.

14. An apparatus for use in a mobile device, the apparatus comprising:

means for propagating an estimated state of said mobile device from a first state corresponding to a first location of an electronic map representing an indoor environment to a second state corresponding to a second location of said electronic map, based, at least in part, on one or more sensed parameters; and

means for validating said estimated state as propagated in response to a determination that a trajectory from said first location to said second location crosses a transition feature of a barrier presented by at least one obstacle identified in said electronic map.

15. The apparatus as recited in claim 14, and further comprising:

means for determining whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a routability graph corresponding to said electronic map.

16. The apparatus as recited in claim 15, wherein said routability graph represents a discrete quantization of a plane overlaying said electronic map, and comprises a plurality of discrete points wherein adjacent points are connected by an edge if there are no intervening obstacles identified in said electronic map between said adjacent points, and further comprising:

means for identifying at least one of said plurality of discrete points with at least one of said first location or said second location; and

means for determining whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is proximate to said transition feature of said barrier.

17. The apparatus as recited in claim 14, wherein said transition feature comprises at least one of:

a terminus portion of said at least one obstacle;

a corner portion of said at least one obstacle;

a faceted portion of said at least one obstacle;

a curved or non-planar portion of said at least one obstacle;

a distal portion of said at least one obstacle;

a portion of said at least one obstacle forming part of an entryway;

or a portion of said at least one obstacle forming part of a doorway.

18. The apparatus as recited in claim 14, wherein said transition feature of said barrier comprises a cross-sectional area portion of said at least one obstacle having a cross-sectional area measurement that is less than a cross-sectional area threshold value.

19. The apparatus as recited in claim 16, and further comprising:

means for determining whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is within a threshold distance of said transition feature.

20. The apparatus as recited in claim 19, wherein said threshold distance is determined based, at least in part, on at least one distance between discrete points represented in said routability graph.

21. The apparatus as recited in claim 20, wherein said threshold distance is less than or equal to said at least one distance between said discrete points represented in said routability graph.

22. The apparatus as recited in claim 19, wherein said threshold distance is based, at least in part, on a type of obstacle associated with said barrier.

23. The apparatus as recited in claim 19, wherein said threshold distance is based, at least in part, on a motion state associated with said mobile device.

24. The apparatus as recited in claim 14, and further comprising:

means for determining an estimated position location of said mobile device within said indoor environment based, at least in part, on a validated estimated state of said mobile device.

25. A mobile device comprising:

memory; and

one or more processing units configured to;

use a motion model to propagate an estimated state of said mobile device from a first state corresponding to a first location of an electronic map representing an indoor environment to a second state corresponding to a second location of said electronic map, based, at least in part, on one or more sensed parameters; and

validate said estimated state as propagated in response to a determination that a trajectory from said first location to said second location crosses a transition feature of a barrier presented by at least one obstacle identified in said electronic map.

26. The mobile device as recited in claim 25, said one or more processing units configured to further:

determine whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a routability graph corresponding to said electronic map.

27. The mobile device as recited in claim 26, wherein said routability graph represents a discrete quantization of a plane overlaying said electronic map, and comprises a plurality of discrete points wherein adjacent points are connected by an edge if there are no intervening obstacles identified in said electronic map between said adjacent points, and wherein said one or more processing units configured to further:

identify at least one of said plurality of discrete points with at least one of said first location or said second location; and

determine whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is proximate to said transition feature of said barrier.

28. The mobile device as recited in claim 25, wherein said transition feature comprises at least one of:

a terminus portion of said at least one obstacle;

a corner portion of said at least one obstacle;

a faceted portion of said at least one obstacle;

a curved or non-planar portion of said at least one obstacle;

a distal portion of said at least one obstacle;

a portion of said at least one obstacle forming part of an entryway;

or a portion of said at least one obstacle forming part of a doorway.

29. The mobile device as recited in claim 25, wherein said transition feature of said barrier comprises a cross-sectional area portion of said at least one obstacle having a cross-sectional area measurement that is less than a cross-sectional area threshold value.

30. The mobile device as recited in claim 25, and further comprising:

at least one sensor comprising at least one of an inertial sensor, an environmental sensor, or a wireless signal receiver; and

wherein said one or more processing units configured to further obtain at least one of said one or more sensed parameters from said at least one sensor.

31. The mobile device as recited in claim 25, wherein said motion model comprises a particle filter.

32. The mobile device as recited in claim 27, said one or more processing units configured to further:

determine whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is within a threshold distance of said transition feature.

33. The mobile device as recited in claim 32, wherein said threshold distance is determined based, at least in part, on at least one distance between discrete points represented in said routability graph.

34. The mobile device as recited in claim 33, wherein said threshold distance is less than or equal to said at least one distance between said discrete points represented in said routability graph.

35. The mobile device as recited in claim 32, wherein said threshold distance is based, at least in part, on a type of obstacle associated with said barrier.

36. The mobile device as recited in claim 32, wherein said threshold distance is based, at least in part, on a motion state associated with said mobile device.

37. The mobile device as recited in claim 25, said one or more processing units configured to further:

determine an estimated position location of said mobile device within said indoor environment based, at least in part, on a validated estimated state of said mobile device.

38. An article comprising:

a non-transitory computer readable medium having computer implementable instructions stored therein that are executable by one or more processing units of a mobile device to;

apply a motion model to propagate an estimated state of said mobile device from a first state corresponding to a first location of an electronic map representing an indoor environment to a second state corresponding to a second location of said electronic map, based, at least in part, on one or more sensed parameters; and

validate said estimated state as propagated in response to a determination that a trajectory from said first location to said second location crosses a transition feature of a barrier presented by at least one obstacle identified in said electronic map.

39. The article as recited in claim 38, said computer implementable instructions being further executable by said one or more processing units to:

determine whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a routability graph corresponding to said electronic map.

40. The article as recited in claim 39, wherein said routability graph represents a discrete quantization of a plane overlaying said electronic map, and comprises a plurality of discrete points wherein adjacent points are connected by an edge if there are no intervening obstacles identified in said electronic map between said adjacent points, and wherein said computer implementable instructions being further executable by said one or more processing units to:

identify at least one of said plurality of discrete points with at least one of said first location or said second location; and

determine whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is proximate to said transition feature of said barrier.

41. The article as recited in claim 38, wherein said transition feature comprises at least one of:

a terminus portion of said at least one obstacle;

a corner portion of said at least one obstacle;

a faceted portion of said at least one obstacle;

a curved or non-planar portion of said at least one obstacle;

a distal portion of said at least one obstacle;

a portion of said at least one obstacle forming part of an entryway;

or a portion of said at least one obstacle forming part of a doorway.

42. The article as recited in claim 38, wherein said transition feature of said barrier comprises a cross-sectional area portion of said at least one obstacle having a cross-sectional area measurement that is less than a cross-sectional area threshold value.

43. The article as recited in claim 38, wherein at least one of said one or more sensed parameters is based, at least in part, on at least one of:

an inertial sensor measurement;

an environmental sensor measurement;

or a received wireless signal measurement.

44. The article as recited in claim 38, wherein said motion model comprises a particle filter.

45. The article as recited in claim 40, said computer implementable instructions being further executable by said one or more processing units to:

determine whether said trajectory from said first location to said second location crosses said transition feature of said barrier based, at least in part, on a determination that said at least one of said plurality of discrete points is within a threshold distance of said transition feature.

46. The article as recited in claim 45, wherein said threshold distance is determined based, at least in part, on at least one distance between discrete points represented in said routability graph.

47. The article as recited in claim 46, wherein said threshold distance is less than or equal to said at least one distance between said discrete points represented in said routability graph.

48. The article as recited in claim 45, wherein said threshold distance is based, at least in part, on a type of obstacle associated with said barrier.

49. The article as recited in claim 45, wherein said threshold distance is based, at least in part, on a motion state associated with said mobile device.

50. The article as recited in claim 38, said computer implementable instructions being further executable by said one or more processing units to:

determine an estimated position location of said mobile device within said indoor environment based, at least in part, on a validated estimated state of said mobile device.