Systems and methods for ghost object classification
A system includes a sensor, which is configured to detect a plurality of objects within an area, and a computing device in communication with the sensor. The computing device is configured to determine that one of the plurality of objects is static, determine that one of the plurality of objects is temporary, determine a geometric relationship between the temporary object and the static object, and determine whether one of the plurality of objects is a ghost object based on the geometric relationship.
1. A system comprising:
a sensor configured to detect a plurality of objects within an area, the plurality of objects comprising a first object, a second object, and a third object; and
a processor configured to determine that the first object is a static object within the area, determine that the second object is a temporary object within the area, determine a geometric relationship between the temporary object and the static object, and determine that the third object is a ghost object that does not exist within the area based on the geometric relationship.
2. The system as recited in claim 1 , wherein the geometric relationship is a distance from the temporary object to a point on the static object.
3. The system as recited in claim 2 , wherein the processor is configured to compare the first distance to a second distance from the ghost object to the point.
4. The system as recited in claim 3 , wherein the processor determines that the third object is the ghost object based on the first distance being equal to the second distance.
5. The system as recited in claim 4 , wherein the temporary object is a moving vehicle.
6. The system as recited in claim 5 , wherein the static object is a guardrail.
7. The system as recited in claim 1 , wherein the sensor is a radar sensor.
8. The system as recited in claim 1 , wherein the sensor is a LIDAR.
9. A method of determining a ghost object detected by a sensor, the method comprising:
determining a first object detected within an area by the sensor is a static object within the area;
determining a second object detected by the sensor is a temporary object within the area;
determining a geometric relationship between the temporary object and the static object; and
determining a third object detected by the sensor is the ghost object within the area based on the geometric relationship.
10. The method as recited in claim 9 , wherein the geometric relationship is a distance from the temporary object to a point on the static object.
11. The method as recited in claim 10 , wherein determining the third object detected by the sensor is the ghost object comprises comparing the first distance to a second distance from the ghost object to the point.
12. The method as recited in claim 11 , wherein determining the third object detected by the sensor is the ghost object comprises determining the third object is the ghost object based on the first distance being equal to the second distance.
13. The method as recited in claim 12 , wherein the temporary object is a moving vehicle.
14. The method as recited in claim 13 , wherein the static object is a guardrail.
15. The method as claimed in claim 12 , further comprising detecting with the sensor the first object, the second object, and the third object.
16. The method as recited in claim 9 , wherein the sensor is a radar sensor.
17. The method as recited in claim 9 , wherein the sensor is a LIDAR.