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1. WO2018222274 - TECHNOLOGIES FOR VEHICLE POSITIONING

Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

[ EN ]

CLAIMS

What is claimed is:

1. An apparatus for using a vehicle as a reference station, the apparatus comprising a vehicle including a processor and a memory, the processor being in communication with the memory, the memory storing a set of instructions and a threshold, and the set of instructions, when executed via the processor, causes the processor to:

generate a plurality of positioning measurements over a period of time as the vehicle is stationary;

determine whether the positioning measurements satisfy the threshold;

generate a set of correction data based on the positioning measurements and the threshold being satisfied; and

send the set of correction data to a server.

2. The apparatus of claim 1 , wherein the set of correction data is a first set of correction data, wherein the set of instructions causes the processor to request a second set of correction data from a data source as the vehicle is moving.

3. The apparatus of claim 2, wherein the data source includes the server.

4. The apparatus of claim 2, wherein the data source includes a reference station that is ground-based.

5. The apparatus of claim 4, wherein the reference station is stationary.

6. The apparatus of claim 1 , wherein the set of instructions causes the processor to determine the threshold dynamically.

7. The apparatus of claim 1 , wherein:

the positioning measurements are a first positioning measurements,

the period of time is a first period of time, and

the set of instructions causes the processor to generate second positioning measurements over a second period of time based on the threshold not being satisfied.

8. The apparatus of claim 1 , wherein the set of instructions causes the processor to generate the set of correction data via a differential GNSS technique .

9. A system for using a vehicle as a reference station, the system comprising a hardware server configured to:

receive a set of correction data from a first vehicular client as the first vehicular client is stationary;

locate a second vehicular client with respect to the first vehicular client based on a first value and a second value, the first value corresponding to the second vehicular client being in spatial proximity to first vehicular client, the second value corresponding to the second vehicular client being in temporal proximity to the first vehicular client; and send the set of correction data to the second vehicular client such that the second vehicular client is able to correct a positioning measurement thereof based on the set of correction data.

10. The system of claim 9, wherein the hardware server is configured to locate the second vehicular client via discriminating the second vehicular client in a set of vehicular clients based on a factor.

11. The system of claim 10, wherein the hardware server is configured to update the factor dynamically.

12. The system of claim 9, wherein the hardware server is configured to generate the first value based on a set of location data received from the second vehicular client.

13. The system of claim 12, wherein the hardware server is configured to generate a correlation dataset based on the first value such that the hardware server locates the second vehicular client with respect to the first vehicular client based on the correlation dataset.

14. The system of claim 9, wherein the hardware server is configured to generate the second value based on a set of location data received from the second vehicular client.

15. The system of claim 14, wherein the hardware server is configured to generate a correlation dataset based on the second value such that the hardware server locates the second vehicular client with respect to the first vehicular client based on the correlation dataset.

16. A method for using a vehicle as a reference station, the method comprising: receiving, via a hardware server, a set of correction data from a first vehicular client as the first vehicular client is stationary;

locating, via the hardware server, a second vehicular client with respect to the first vehicular client based on a first value and a second value, the first value corresponding to the second vehicular client being in spatial proximity to first vehicular client and the second value corresponds to the second vehicular client being in temporal proximity to the first vehicular client; and

sending, via the hardware server, the set of correction data to the second vehicular client such that the second vehicular client is able to correct a positioning measurement thereof based on the set of correction data.

17. The method of claim 16, comprising discriminating, via the processor, the second vehicular client in a set of vehicular clients based on a factor, wherein the locating is based on the discriminating.

18. The method of claim 17, comprising updating, via the processor, the factor

dynamically.

19. The method of claim 16, comprising generating, via the processor, the first value based on a set of location data received from the second vehicular client, wherein the locating is based on the generating.

20. The method of claim 19, comprising generating, via the processor, a correlation dataset based on the first value, wherein the locating is based on the correlation dataset.

21. The method of claim 16, comprising generating, via the processor, the second value based on a set of location data received from the second vehicular client, wherein the locating is based on the generating.

22. The method of claim 21 , comprising generating, via the processor, a correlation dataset based on the second value, wherein the locating is based on the correlation dataset.