Positioning system and calibration method of object location

1. A calibration method of an object location, comprising:

obtaining roadside location information of at least one roadside unit;

obtaining object location information of at least one object through a satellite positioning system;

determining an image identification result of the at least one object or the at least one roadside unit according to an image of the at least one image capturing device; and

calibrating the object location information of the at least one object with an error from the satellite positioning system according to the roadside location information and the image identification result.

2. The calibration method of object location as claimed in claim 1 , wherein the roadside location information is a location of the at least one roadside unit, the image identification result is a location of the at least one roadside unit in the image, and the step of calibrating the object location information of the at least one object according to the roadside location information and the image identification result comprises:

determining a first location conversion relationship between the roadside location information and the image identification result; and

calibrating the object location information according to the first location conversion relationship.

3. The calibration method of object location as claimed in claim 2 , wherein the step of calibrating the object location information according to the first location conversion relationship comprises:

converting a location of the at least one object in the image into a corresponding object estimation location according to the first location conversion relationship; and

calibrating the object location information according to the object estimation location.

4. The calibration method of object location as claimed in claim 2 , wherein a coordinate distance between the roadside location information and the object location information of the at least one object is related to the first location conversion relationship.

5. The calibration method of object location as claimed in claim 2 , wherein the at least one image capturing device captures a plurality of images, the images correspond to a plurality of different timestamps, and the step of determining the first location conversion relationship between the roadside location information and the image identification result comprises:

determining an object estimation location of the at least one object under different timestamps according to the first location conversion relationship of the timestamps.

6. The calibration method of object location as claimed in claim 1 , wherein the roadside location information is an object estimation location of the at least one object, the image identification result is a location of the at least one object in the image, and the step of calibrating the object location information of the at least one object according to the roadside location information and the image identification result comprises:

determining a second location conversion relationship between the roadside location information and the image identification result; and

calibrating the object location information according to the second location conversion relationship.

7. The calibration method of object location as claimed in claim 6 , wherein the step of determining the second location conversion relationship between the roadside location information and the image identification result comprises:

determining a preliminary estimation location information of the at least one object according to the image identification result; and

determining the second location conversion relationship according to an error between the preliminary estimation location information and the roadside location information.

8. The calibration method of object location as claimed in claim 6 , wherein the image identification result further comprises at least one of a type, an appearance, and identification information of the at least one object, and the calibration method further comprises:

mapping the object estimation location of the at least one object in the roadside location information to the object estimation location reported by a device according to at least one of the type, the appearance, and the identification information of the at least one object.

9. The calibration method of object location as claimed in claim 6 , wherein the object location information corresponds to an identification code of the at least one object, and the calibration method further comprises:

mapping the object estimation location to the object estimation location reported by a device according to the identification code of the at least one object.

10. The calibration method of object location as claimed in claim 6 , further comprising:

calibrating a location of the at least one object in an electronic map according to the object location information which is calibrated, wherein the electronic map uses the object location information which is not calibrated to position the at least one object before calibration.

11. A positioning system, comprising:

at least one roadside unit, configured to provide roadside location information;

at least one image capturing device, configured to provide an image; and

a computing device, configured to:

obtain the roadside location information of the at least one roadside unit;

obtain object location information of at least one object through a satellite positioning system; and

calibrate the object location information of the at least one object with an error from the satellite positioning system according to the roadside location information and an image identification result, wherein the image identification result is for the at least one object or the at least one roadside unit and is determined according to the image of the at least one image capturing device.

12. The positioning system as claimed in claim 11 , wherein the roadside location information is a location of the at least one roadside unit, the image identification result is a location of the at least one roadside unit in the image, and the computing device is further configured to:

determine a first location conversion relationship between the roadside location information and the image identification result; and

calibrate the object location information according to the first location conversion relationship.

13. The positioning system as claimed in claim 12 , wherein the computing device is further configured to:

convert a location of the at least one object in the image into a corresponding object estimation location according to the first location conversion relationship; and

calibrate the object location information according to the object estimation location.

14. The positioning system as claimed in claim 12 , wherein a coordinate distance between the roadside location information and the object location information of the at least one object is related to the first location conversion relationship.

15. The positioning system as claimed in claim 12 , wherein the at least one image capturing device captures a plurality of images, the images correspond to a plurality of different timestamps, and the computing device is further configured to:

determine an object estimation location of the at least one object under different timestamps according to the first location conversion relationship of the timestamps.

16. The positioning system as claimed in claim 11 , wherein the roadside location information is an object estimation location of the at least one object, the image identification result is a location of the at least one object in the image, and the computing device is further configured to:

determine a second location conversion relationship between the roadside location information and the image identification result; and

calibrate the object location information according to the second location conversion relationship.

17. The positioning system as claimed in claim 16 , wherein the computing device is further configured to:

determine a preliminary estimation location information of the at least one object according to the image identification result; and

determine the second location conversion relationship according to an error between the preliminary estimation location information and the roadside location information.

18. The positioning system as claimed in claim 16 , wherein the image identification result further comprises at least one of a type, an appearance, and identification information of the at least one object, and the computing device is further configured to:

map the object estimation location of the at least one object in the roadside location information to the object estimation location reported by a device according to at least one of the type, the appearance, and the identification information of the at least one object.

19. The positioning system as claimed in claim 16 , wherein the object location information corresponds to an identification code of the at least one object, and the computing device is further configured to:

map the object estimation location to the object estimation location reported by a device according to the identification code of the at least one object.

20. The positioning system as claimed in claim 16 , wherein the computing device is further configured to:

calibrate a location of the at least one object in an electronic map according to the object location information which is calibrated, wherein the electronic map uses the object location information which is not calibrated to position the at least one object before calibration.