Method and device for sensing traffic environment

1. A method for sensing a traffic environment, used in an electronic device, comprising:

generating, by a sensor of the electronic device, local object information by sensing an environment within a first sensing range of the electronic device, wherein the local object information at least comprises first geographical distribution information of local objects within the first sensing range, wherein the first sensing range is a range centered on the electronic device;

receiving external object information transmitted by at least one node, wherein the external object information comprises at least second geographical distribution information of external objects within a second sensing range of the node; and

generating object integration information according to the local object information and the external object information,

wherein the local object information comprises first absolute position data of the electronic device, and the external object information comprises second absolute position data of the node,

wherein the step of generating object integration information according to the local object information and the external object information comprises:

obtaining absolute position data of the local objects and absolute position data of the external objects according to the first absolute position data, the second absolute position data, the first geographical distribution information and the second geographical distribution information;

determining whether the absolute position data of the local objects are the same as the absolute position data of the external objects; and

integrating the local object information and the external object information to generate object integration information when the absolute position data of the local objects are not the same as the absolute position data of the external object.

2. The method for sensing a traffic environment as claimed in claim 1 , wherein the local object information further comprises an identifier of the electronic device, and the external object information further comprises an identifier of the node.

3. The method for sensing a traffic environment as claimed in claim 2 , wherein the first geographical distribution information comprises relative position data of the local objects relative to the electronic device, and the second geographical distribution information comprises relative position data of the external objects relative to the node.

4. The method for sensing a traffic environment as claimed in claim 1 , wherein the local object information further comprises a local time stamp, and the external object information further comprises an external time stamp.

5. The method for sensing a traffic environment as claimed in claim 4 , wherein the step of generating object integration information according to the local object information and the external object information comprises:

determining whether a difference between the local timestamp and the external timestamp is greater than an update period; and

deleting the external object information when the difference is greater than the update period.

6. The method for sensing a traffic environment as claimed in claim 5 , wherein the update period is a time interval to re-generate the local object information by the electronic device.

7. The method for sensing a traffic environment as claimed in claim 1 , wherein the electronic device is a vehicle device.

8. The method for sensing a traffic environment as claimed in claim 1 , wherein the electronic device is a road side unit (RSU), and the method further comprises:

broadcasting the object integration information.

9. The method for sensing a traffic environment as claimed in claim 1 , wherein the node is a road side unit (RSU) or a vehicle device.

10. A device for sensing a traffic environment, comprising:

one or more processors; and

one or more computer storage media for storing one or more computer-readable instructions, wherein the processor is configured to drive the computer storage media to execute the following tasks:

generating, by a sensor of the device, local object information by sensing an environment within a first sensing range of the device, wherein the local object information at least includes first geographical distribution information of local objects within the first sensing range, wherein the first sensing range is a range centered on the device;

receiving external object information transmitted by at least one node, wherein the external object information includes at least second geographical distribution information of external objects within a second sensing range of the node; and

generating object integration information according to the local object information and the external object information,

wherein the local object information comprises first absolute position data of the device, and the external object information comprises second absolute position data of the node,

wherein generating object integration information according to the local object information and the external object information by the processor comprises:

obtaining absolute position data of the local objects and absolute position data of the external objects according to the first absolute position data, the second absolute position data, the first geographical distribution information and the second geographical distribution information;

determining whether the absolute position data of the local objects are the same as the absolute position data of the external objects; and

integrating the local object information and the external object information to generate object integration information when the absolute position data of the local objects are not the same as from the absolute position data of the external object.

11. The device for sensing a traffic environment as claimed in claim 10 , wherein the local object information further comprises an identifier of the device, and the external object information further comprises an identifier of the node.

12. The device for sensing a traffic environment as claimed in claim 11 , wherein the first geographical distribution information comprises relative position data of the local objects relative to the device, and the second geographical distribution information comprises relative position data of the external objects relative to the node.

13. The device for sensing a traffic environment as claimed in claim 10 , wherein the local object information further comprises a local time stamp, and the external object information further comprises an external time stamp.

14. The device for sensing a traffic environment as claimed in claim 13 , wherein the step of generating object integration information according to the local object information and the external object information by the processor comprises:

determining whether a difference between the local timestamp and the external timestamp is greater than an update period; and

deleting the external object information when the difference is greater than the update period.

15. The device for sensing a traffic environment as claimed in claim 14 , wherein the update period is a time interval to re-generate the local object information by the electronic device.

16. The device for sensing a traffic environment as claimed in claim 10 , wherein the device is a vehicle device.

17. The device for sensing a traffic environment as claimed in claim 10 , wherein the device is a road side unit (RSU), and the processor further executes:

broadcasting the object integration information.

18. The device for sensing a traffic environment as claimed in claim 10 , wherein the node is a road side unit (RSU) or a vehicle device.