Method for indicating obstacle by smart roadside unit
Provided are a method for indicating at least one obstacle by a smart roadside unit, a system and a non-temporary computer-readable storage medium. The method includes: detecting the at least one obstacle via a radar to generate an obstacle set; acquiring status information reported by an autonomous vehicle; filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set; and sending a filtered obstacle set to the autonomous vehicle.
1. A method for indicating at least one obstacle by a smart roadside unit, comprising:
detecting the at least one obstacle via a radar to generate an obstacle set;
acquiring status information reported by an autonomous vehicle, wherein the status information comprises a current location of the autonomous vehicle;
calibrating the current location of the autonomous vehicle;
filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set, comprising: removing an obstacle object having a location coinciding with the calibrated current location of the autonomous vehicle from the obstacle set; and
sending a filtered obstacle set to the autonomous vehicle.
2. The method according to claim 1 , wherein the status information further comprises a volume and a shape of the autonomous vehicle.
3. The method according to claim 2 , wherein filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set comprises:
removing an obstacle object, having a location, a volume and a shape coinciding with the calibrated current location, the volume and the shape of the autonomous vehicle, from the obstacle set.
4. The method according to claim 1 , wherein the status information further comprises a current speed, an accelerating speed and historical trajectory information of the autonomous vehicle, and
calibrating the current location of the autonomous vehicle comprises:
acquiring future trajectory information of the autonomous vehicle according to the current speed, the accelerating speed and the historical trajectory information;
calibrating the current location of the autonomous vehicle according to the future trajectory information.
5. The method according to claim 4 , wherein the status information further comprises a time stamp, and
calibrating the current location of the autonomous vehicle according to the future trajectory information comprises:
acquiring a current time;
calibrating the current location of the autonomous vehicle according to the time stamp, the current time and the future trajectory information.
6. The method according to claim 4 , wherein the current speed is acquired by a speed sensor, the accelerating speed is acquired by an accelerating speed sensor, and the historical trajectory information is generated according to location information of the autonomous vehicle.
7. A system, comprising:
a processor;
a memory storing instructions, wherein the instructions when executed by the processor, cause the processor to perform operations, the operations comprising:
detecting at least one obstacle via a radar to generate an obstacle set;
acquiring status information reported by an autonomous vehicle, wherein the status information comprises a current location of the autonomous vehicle;
calibrating the current location of the autonomous vehicle;
filtering the obstacle set according to the status information reported by the autonomous vehicle to remove the autonomous vehicle object from the obstacle set, comprising: removing an obstacle object having a location coinciding with the calibrated current location of the autonomous vehicle from the obstacle set; and
sending a filtered obstacle set to the autonomous vehicle.
8. The system according to claim 7 , wherein the status information further comprises a volume and a shape of the autonomous vehicle.
9. The system according to claim 8 , wherein the operations further comprises: removing an obstacle object, having a location, a volume and a shape coinciding with the current location, the volume and the shape of the autonomous vehicle, from the obstacle set.
10. The system according to claim 7 , wherein the status information comprises a current speed and an accelerating speed and historical trajectory information of the autonomous vehicle, and the operations further comprises:
acquiring future trajectory information of the autonomous vehicle according to the current speed, the accelerating speed and the historical trajectory information;
calibrating the current location of the autonomous vehicle according to the future trajectory information.
11. The system according to claim 10 , wherein the status information further comprises a time stamp, and the operations further comprises:
acquiring a current time;
calibrating the current location of the autonomous vehicle according to the time stamp, the current time and the future trajectory information.
12. A non-transitory computer-readable storage medium having stored therein computer programs that, when executed by a processor, cause the processor to perform a method for indicating at least one obstacle by a smart roadside unit comprising:
detecting the obstacle via a radar to generate an obstacle set;
acquiring status information reported by an autonomous vehicle, wherein the status information comprises a current location of the autonomous vehicle;
calibrating the current location of the autonomous vehicle;
filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set, comprising: removing an obstacle object having a location coinciding with the calibrated current location of the autonomous vehicle from the obstacle set; and
sending a filtered obstacle set to the autonomous vehicle.
13. The non-transitory computer-readable storage medium according to claim 12 , wherein the status information further comprises a volume and a shape of the autonomous vehicle, and filtering the obstacle set according to the status information reported by the autonomous vehicle, to remove the autonomous vehicle object from the obstacle set comprises:
removing an obstacle object, having a location, a volume and a shape coinciding with the current location, the volume and the shape of the autonomous vehicle, from the obstacle set.
14. The non-transitory computer-readable storage medium according to claim 12 , wherein the status information further comprises a current speed, an accelerating speed and historical trajectory information of the autonomous vehicle, and
calibrating the current location of the autonomous vehicle comprises:
acquiring future trajectory information of the autonomous vehicle according to the current speed, the accelerating speed and the historical trajectory information;
calibrating the current location of the autonomous vehicle according to the future trajectory information.
15. The non-transitory computer-readable storage medium according to claim 14 , wherein the status information further comprises a time stamp, and
calibrating the current location of the autonomous vehicle according to the future trajectory information comprises:
acquiring a current time;
calibrating the current location of the autonomous vehicle according to the time stamp, the current time and the future trajectory information.