Mobile device locationing

1. A mobile computing device, comprising:

a tracking sensor;

a proximity sensor; and

a controller coupled to the tracking sensor and the proximity sensor, the controller configured to:

obtain a sequence of sensor datasets, each sensor dataset including:

(i) a location of the mobile computing device, in a local coordinate system, generated using the tracking sensor,

(ii) a proximity indicator generated using the proximity sensor, defining at least one of a range or a bearing angle to a fixed reference device, and

(iii) an identifier indicative of a predefined location of the reference device in a facility coordinate system;

determine, from the sequence, an adjusted pose of an origin of the local coordinate system in the facility coordinate system; and

generate, using a current location of the mobile device in the local coordinate system and the adjusted pose, a corrected location of the mobile computing device in the facility coordinate system; and

execute a control action based on the corrected location.

2. The mobile computing device of claim 1 , wherein the controller is configured to obtain the sequence of sensor datasets by selecting a current dataset and a predefined number of preceding datasets.

3. The mobile computing device of claim 1 , wherein the reference device is a wireless emitter; and wherein the proximity indicator includes at least one of: a signal strength indicator associated with the wireless emitter, a round trip time (RTT), or a range estimate.

4. The mobile computing device of claim 3 , wherein the reference device is at least one of: a wireless communications access point, a wireless beacon, or a visual feature affixed to a surface in the facility.

5. The mobile computing device of claim 1 , wherein the controller is further configured, to determine the adjusted pose of the origin of the local coordinate system, to: select parameters defining the adjusted pose in order to minimize an error metric.

6. The mobile computing device of claim 5 , wherein the error metric includes a combination of error measurements for each sensor dataset, each error measurement defining a difference between (i) the range defined by the proximity indicator, and (ii) a distance to the reference device defined by the location of the mobile computing device in the local coordinate system and the adjusted pose.

7. The mobile computing device of claim 5 , wherein the error metric includes a combination of error measurements for each sensor dataset, each error measurement defining a difference between (i) a perceived bearing angle between the mobile computing device and the reference device, and (ii) a true bearing angle between the mobile computing device and the reference device.

8. The mobile computing device of claim 1 , wherein the controller is configured to periodically repeat the obtaining of a sequence of datasets, and the determination of the adjusted pose.

9. The mobile computing device of claim 1 , wherein the control action includes transmission of the corrected location via a network.

10. The mobile computing device of claim 1 , wherein the tracking sensor includes at least one of an inertial measurement unit, or a camera.

11. The mobile computing device of claim 1 , wherein the controller is further configured, prior to obtaining the sequence of sensor datasets, to:

obtain predefined positions, in the facility coordinate system, of at least a pair of anchors;

responsive to detection of the anchors using the tracking sensor, determine an initial pose of the origin of the local coordinate system based on the predefined positions and corresponding locations of the mobile computing device in the local coordinate system;

collect a sequence of proximity indicators from one of the reference devices; and

determine the predefined location of the reference device in the facility coordinate system based on the sequence of proximity indicators and the initial pose.

12. A method, comprising:

obtaining a sequence of sensor datasets at a mobile computing device having a tracking sensor and a proximity sensor, each sensor dataset including:

(i) a location of the mobile computing device, in a local coordinate system, generated using the tracking sensor,

(ii) a proximity indicator generated using the proximity sensor, defining at least one of a range or a bearing angle to a fixed reference device, and

(iii) an identifier indicative of a predefined location of the reference device in a facility coordinate system;

determining, from the sequence, an adjusted pose of an origin of the local coordinate system in the facility coordinate system; and

generating, using a current location of the mobile device in the local coordinate system and the adjusted pose, a corrected location of the mobile computing device in the facility coordinate system; and

executing a control action based on the corrected location.

13. The method of claim 12 , wherein obtaining the sequence of sensor datasets includes selecting a current dataset and a predefined number of preceding datasets.

14. The method of claim 12 , wherein the reference device is a wireless emitter; and wherein the proximity indicator includes at least one of: a signal strength indicator associated with the wireless emitter, a round trip time (RTT), or a range estimate.

15. The method of claim 14 , wherein the reference device is at least one of: a wireless communications access point, a wireless beacon, or a visual feature affixed to a surface in the facility.

16. The method of claim 12 , wherein determining the adjusted pose of the origin of the local coordinate system includes selecting parameters defining the adjusted pose in order to minimize an error metric.

17. The method of claim 16 , wherein the error metric includes a combination of error measurements for each sensor dataset, each error measurement defining a difference between (i) the range defined by the proximity indicator, and (ii) a distance to the reference device defined by the location of the mobile computing device in the local coordinate system and the adjusted pose.

18. The method of claim 12 , further comprising periodically repeating the obtaining of a sequence of datasets, and the determination of the adjusted pose.

19. The method of claim 12 , wherein the control action includes transmission of the corrected location via a network.

20. The method of claim 12 , wherein the tracking sensor includes at least one of an inertial measurement unit, or a camera.

21. The method of claim 12 , further comprising, prior to obtaining the sequence of sensor datasets:

obtaining predefined positions, in the facility coordinate system, of at least a pair of anchors;

responsive to detection of the anchors using the tracking sensor, determining an initial pose of the origin of the local coordinate system based on the predefined positions and corresponding locations of the mobile computing device in the local coordinate system;

collecting a sequence of proximity indicators from one of the reference devices; and

determining the predefined location of the reference device in the facility coordinate system based on the sequence of proximity indicators and the initial pose.

22. A non-transitory computer-readable medium storing instructions executable by a controller of a mobile device having a tracking sensor and a proximity sensor, execution of the instructions causing the controller to:

obtain a sequence of sensor datasets, each sensor dataset including:

(i) a location of the mobile computing device, in a local coordinate system, generated using the tracking sensor,

(ii) a proximity indicator generated using the proximity sensor, defining at least one of a range or a bearing angle to a fixed reference device, and

(iii) an identifier indicative of a predefined location of the reference device in a facility coordinate system;

determine, from the sequence, an adjusted pose of an origin of the local coordinate system in the facility coordinate system; and

generate, using a current location of the mobile device in the local coordinate system and the adjusted pose, a corrected location of the mobile computing device in the facility coordinate system; and

execute a control action based on the corrected location.