Light fixture commissioning using encoded light signals

1. A method for mapping light fixtures at a mobile device, comprising:

receiving a first encoded light signal from a first light fixture and a second encoded light signal from a second light fixture;

decoding the first and second encoded light signals to obtain respective identifiers associated with the first and second light fixtures;

time-stamping each of the respective identifiers with a common time-stamp;

acquiring time-stamped sensor measurements, each time-stamped sensor measurement comprising a respective first direction-of-arrival of the first encoded light signal and a respective second direction-of-arrival of the second encoded light signal;

processing at least some of the time-stamped sensor measurements using a probability function to determine a sequence of time-stamped locations of the mobile device, each time-stamped location of the sequence of time-stamped locations determined with respect to a location of the first light fixture and a location of the second light fixture; and

determining, based at least in part on the respective first and second directions-of-arrival, a correspondence between the respective identifiers having the common time-stamp and each time-stamped location of the sequence of time-stamped locations of the mobile device.

2. The method of claim 1 , wherein determining the correspondence between the respective identifiers having the common time-stamp and each time-stamped location of the sequence of time-stamped locations comprises:

correlating each time-stamped identifier with each time-stamped location.

3. The method of claim 1 , further comprising:

determining a location of the first light fixture based at least in part on the direction-of-arrival of the first encoded light signal received from the first light fixture and based at least in part on the sequence of time-stamped locations of the mobile device.

4. The method of claim 1 , further comprising:

determining locations of the first and second light fixtures based at least in part on the respective directions-of-arrival of the first and second encoded light signals received from the first and second light fixtures and based at least in part on the sequence of time-stamped locations of the mobile device.

5. The method of claim 1 , wherein processing the at least some of the time-stamped sensor measurements using the probability function comprises:

processing the at least some of the time-stamped sensor measurements using a Bayesian interference model.

6. The method of claim 1 , wherein acquiring the time-stamped sensor measurements comprises:

acquiring at least one of camera measurements, inertial measurements, magnetic measurements, radio measurements, or a combination thereof.

7. The method of claim 1 , wherein determining the sequence of time-stamped locations of the mobile device comprises:

estimating at least one movement of the mobile device; and

determining at least a second of the sequence of time-stamped locations in relation to at least a first of the sequence of time-stamped locations and the at least one estimated movement of the mobile device.

8. The method of claim 7 , further comprising:

determining at least a first of the sequence of time-stamped locations based at least in part on a location of an external reference.

9. The method of claim 1 , further comprising:

receiving input identifying a location of the first light fixture associated with the first identifier.

10. The method of claim 9 , further comprising:

displaying information corresponding to a number of light fixtures comprising the first and second light fixtures; and

receiving a selection from the information corresponding to the number of light fixtures.

11. The method of claim 10 , wherein displaying the information comprises:

displaying a map of the number of light fixtures.

12. The method of claim 1 , wherein receiving the first encoded light signal at the mobile device comprises:

receiving the first encoded light signal using a rolling shutter image sensor of the mobile device.

13. The method of claim 1 , wherein at least one of the first light fixture or the second light fixture is arranged within an indoor environment.

14. A mobile device for mapping light fixtures, comprising:

means for receiving a first encoded light signal from a first light fixture and a second encoded light signal from a second light fixture;

means for decoding the first and second encoded light signals to obtain respective identifiers associated with the first and second light fixtures;

means for time-stamping each of the respective identifiers with a common time-stamp;

means for acquiring time-stamped sensor measurements, each time-stamped sensor measurement comprising a respective first direction-of-arrival of the first encoded light signal and a respective second direction-of-arrival of the second encoded light signal;

means for processing at least some of the time-stamped sensor measurements using a probability function to determine a sequence of time-stamped locations of the mobile device, each time-stamped location of the sequence of time-stamped locations determined with respect to a location of the first light fixture and a location of the second light fixture; and

means for determining, based at least in part on the respective first and second directions-of-arrival, a correspondence between the respective identifiers having the common time-stamp and each time-stamped location of the sequence of time-stamped locations of the mobile device.

15. A mobile device for mapping light fixtures, comprising:

a processor;

memory in electronic communication with the processor; and

instructions stored in the memory, the instructions being executable by the processor to:

receive a first encoded light signal from a first light fixture and a second encoded light signal from a second light fixture;

decode the first and second encoded light signals to obtain respective identifiers associated with the first and second light fixtures;

time-stamp each of the respective identifiers with a common time-stamp;

acquire time-stamped sensor measurements, each time-stamped sensor measurement comprising a respective first direction-of-arrival of the first encoded light signal and a respective second direction-of-arrival of the second encoded light signal;

process at least some of the time-stamped sensor measurements using a probability function to determine a sequence of time-stamped locations of the mobile device, each time-stamped location of the sequence of time-stamped locations determined with respect to a location of the first light fixture and a location of the second light fixture; and

determine, based at least in part on the respective first and second directions-of-arrival, a correspondence between the respective identifiers having the common time-stamp and each time-stamped location of the sequence of time-stamped locations of the mobile device.

16. The mobile device of claim 15 , wherein the instructions executable by the processor to determine the correspondence between the respective identifiers having the common time-stamp and each time-stamped location of the sequence of time-stamped locations comprise instructions executable by the processor to:

correlate each time-stamped identifier with each time-stamped location.

17. The mobile device of claim 15 , wherein the instructions are executable by the processor to:

determine a location of the first light fixture based at least in part on the direction-of-arrival of the first encoded light signal received from the first light fixture and based at least in part on the sequence of time-stamped locations of the mobile device.

18. The mobile device of claim 15 , wherein the instructions are executable by the processor to:

determine locations of the first and second light fixtures based at least in part on the respective directions-of-arrival of the first and second encoded light signals received from the first and second light fixtures and based at least in part on the sequence of time-stamped locations of the mobile device.

19. The mobile device of claim 15 , wherein the instructions executable by the processor to acquire the time-stamped sensor measurements comprise instructions executable by the processor to:

acquire at least one of camera measurements, inertial measurements, magnetic measurements, radio measurements, or a combination thereof.

20. A non-transitory computer-readable medium storing computer-executable code for mapping light fixtures, the code executable by a processor to:

receive a first encoded light signal from a first light fixture and a second encoded light signal from a second light fixture;

decode the first and second encoded light signals to obtain respective identifiers associated with the first and second light fixtures;

time-stamp each of the respective identifiers with a common time-stamp;

acquire time-stamped sensor measurements, each time-stamped sensor measurement comprising a respective first direction-of-arrival of the first encoded light signal and a respective second direction-of-arrival of the second encoded light signal;

process at least some of the time-stamped sensor measurements using a probability function to determine a sequence of time-stamped locations of the mobile device, each time-stamped location of the sequence of time-stamped locations determined with respect to a location of the first light fixture and a location of the second light fixture; and

determine, based at least in part on the respective first and second directions-of-arrival, a correspondence between the respective identifiers having the common time-stamp and each time-stamped location of the sequence of time-stamped locations of the mobile device.