Method for calibrating the alignment of a moving object sensor
This disclosure relates, e.g., to a method for calibrating the alignment of a moving object sensor that comprises the steps: Detection of the movement of the object sensor, multiple detection of at least one static object by the moving object sensor at different positions of the object sensor, calculation of the relative positions of the static object with respect to the corresponding positions of the object sensor, calculation of anticipated positions of the static object from the relative positions while assuming an alignment error of the object sensor, calculation of an error parameter from the anticipated positions, and minimization of the error parameter by adapting the alignment error of the object sensor.
1. A method for calibrating the alignment of a moving object sensor that comprises:
detecting the movement of the object sensor;
repeated detection of at least one static object by the moving object sensor in different positions of the object sensor;
calculating the relative positions of the static object with reference to the corresponding positions of the object sensor;
calculating anticipated positions of the static object from the relative positions using an assumed alignment error of the object sensor;
calculating an error parameter from the anticipated positions;
minimizing the error parameter by adapting the alignment error of the object sensor; and
determining an actual alignment error of the object sensor from the adapted alignment error at which the error parameter is substantially minimized.
2. The method of claim 1 , wherein the object sensor detects the at least one static object in a plane.
3. The method of claim 2 , wherein the at least one static object is an elongated object that appears basically punctiform in the detection plane.
4. The method of claim 3 , wherein the alignment error of the object sensor comprises an azimuth angle error.
5. The method of claim 3 , wherein the error parameter is calculated from the Helmert point error.
6. The method of claim 2 , wherein the alignment error of the object sensor comprises an azimuth angle error.
7. The method of claim 2 , wherein the error parameter is calculated from the Helmert point error.
8. The method of claim 1 , wherein the alignment error of the object sensor comprises an azimuth angle error.
9. The method of claim 8 , wherein the error parameter is iteratively minimized by changing the azimuth angle error.
10. The method of claim 9 , wherein the error parameter is calculated from the Helmert point error.
11. The method of claim 8 , wherein the error parameter is minimized by an optimization method.
12. The method of claim 8 , wherein the error parameter is calculated from the Helmert point error.
13. The method of claim 1 , wherein the error parameter is calculated from the Helmert point error.
14. The method of claim 1 , wherein more than one static object is detected.
15. The method of claim 1 , wherein the absolute positions of the object sensor are also detected.
16. The method of claim 1 , wherein the positions of the static object are calculated from the positions of the object sensor by polar appending.
17. The method of claim 16 , wherein an error-corrected position of the static object is calculated.
18. The method of claim 17 , wherein an absolute position of the object sensor is determined from the error-corrected position of the static object and a known absolute position of the static object.
19. The method of claim 1 , wherein the object sensor comprises at least one of a radar sensor, an ultrasonic sensor, a laser sensor, and an image sensor.
20. The method of claim 1 , wherein the object sensor is installed in a vehicle.