Method for the calibration of a distance image sensor

• US 20060290920A1
• Filed: 07/07/2005
• Published: 12/28/2006
• Est. Priority Date: 07/08/2004
• Status: Abandoned Application

• Current Assignee: IBEO Automobile Sensor GmbH (Ibeo Automotive Systems GmbH)
• Original Assignee: IBEO Automobile Sensor GmbH (Ibeo Automotive Systems GmbH)
• Inventors: Dietmayer, Klaus, Bühler, Matthias, Kämpchen, Nico, Lages, Ulrich
• Application Number:
  US11/176,776
• Publication Number:
  US 20060290920A1
• Time in Patent Office: Days
• US Class Current: 356/139.04
• CPC Class Codes: G01S 17/86 Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
• CPC Class Codes: G01S 17/931 of land vehicles
• CPC Class Codes: G01S 7/4026 Antenna boresight
• CPC Class Codes: G01S 7/4086 in a calibrating environment, e.g. anechoic chamber
• CPC Class Codes: G01S 7/4972 Alignment of sensor

Abstract

A method for the at least partial calibration of a distance image sensor for electromagnetic radiation mounted on a vehicle is described by means of which a detection range along at least one scanned area can be scanned and a corresponding distance image can be detected in relation to an alignment of the scanned area or of the distance image sensor relative to the vehicle. Distances between the distance image sensor and regions on at least one calibration surface are found by means of the distance image sensor and a value for a parameter which at least partly describes the alignment is determined using the distances that are found.

Claims

1. Method for the at least partial calibration of a distance image sensor (14) for electromagnetic radiation mounted on a vehicle (10) by means of which a detection range (26) along at least one scanned area (28, 28′

, 28″

, 28′

″

) can be scanned and a corresponding distance image can be detected in relation to an alignment of the scanned area (28, 28′

, 28″

, 28′

″

) or of the distance image sensor (14) relative to the vehicle (10), wherein distances between the distance image sensor (14) and regions on at least one calibration surface (46, 46′

, 46″

, 50, 50′

) are found by means of the distance image sensor (14) and a value for a parameter which at least partly describes the alignment is determined using the distances that are found.

2. Method in accordance with claim 1,

characterized in that

a calibration surface (46, 46′

, 46″

, 50, 50′

) with a known shape is used on which at least two neighbouring regions along the scanned area (28, 28′

, 28″

, 28′

″

) can be detected in spatially resolved manner for the calibration by means of the distance image sensor (14).

3. Method in accordance with claim 1,

characterized in that

a distance image sensor (14) is calibrated by means of which the detection region (26) can be scanned along at least two different scanned areas (28, 28′

, 28″

, 28′

″

).

4. Method in accordance with claim 1,

characterized in that

a distance image sensor (14) is calibrated for which the position and/or the alignment of the scanned area (28, 28′

, 28″

, 28′

″

) relative to a coordinate system of the distance image sensor (14) is known, in that coordinates in a coordinate system of a distance image sensor (14) are determined for distance image points of the detected distance image which are associated with the scanned area (28, 28′

, 28″

, 28′

″

) and in that these coordinates are used for the at least partial determination of the alignment.

5. Method in accordance with claim 3,

characterized in that

respectively detected regions in the two scanned areas (28, 28′

, 28″

, 28′

″

) are jointly used for the at least partial determination of the alignment.

6. Method in accordance with claim 3,

characterized in that

for each of the scanned areas (28, 28′

, 28″

, 28′

″

) a value associated with the respective scanned area (28, 28′

, 28″

, 28′

″

) for the parameter which at least partly reproduces the alignment is determined from the distances of detected regions on the calibration surface (46, 46′

, 46″

, 50, 50′

) to the distance image sensor (14) and in that a value for the parameter which at least partly reproduces the alignment of the distance image sensor (14) is determined from the values associated with the scanned areas (28, 28′

, 28″

, 28′

″

).

7. Method in accordance with claim 1,

characterized in that

the calibration surface (46, 46′

, 46″

, 50, 50′

) is flat.

8. Method in accordance with claim 1,

characterized in that

the regions of the calibration surface (46, 46′

, 46″

) are respectively inclined relative to the longitudinal axis or vertical axis of the vehicle in a predetermined manner for the at least partial determination of an orientation of the scanning area (28, 28′

, 28″

, 28′

″

) or of the distance image sensor (14) relative to the vehicle (10), in particular of a pitch angle, and in that a value for a parameter which at least partly reproduces the orientation, in particular the pitch angle, is determined from the detected distances of the detected distances of the regions detected by the distance image sensor (14) in dependence on their inclinations.

9. Method in accordance with claim 1,

characterized in that

a distance of the calibration surface (46, 46′

, 46″

) from the distance image sensor (14) in the range of scanned area (28, 28′

, 28″

, 28′

″

) is determined from at least two detected distances of the regions of the calibration surface (46, 46′

, 46″

) and

in that a value for a parameter which at least partly reproduces the orientation of the scanned area (28, 28′

, 28″

, 28′

″

) or of the distance image sensor (14), in particular the pitch angle, is determined using the determined distance of the calibration surface (46, 46′

, 46″

).

10. Method in accordance with claim 1,

characterized in that

for the at least partial determination of the orientation, in particular of the pitch angle, two calibration surfaces (46, 46′

, 46″

) arranged adjacent to one another in a predetermined position are used whose regions are used for the calibration are inclined in different, predetermined, manner relative to the longitudinal axis or the vertical axis of the vehicle;

in that distances between the distance image sensor (14) and regions on the calibration surfaces (46, 46′

, 46″

) close to the scanned area (28, 28′

, 28″

, 28′

″

) are determined by means of the distance image sensor (14) and in that differences of the distances that are determined are used for the determination of a value for a parameter which at least partly reproduces the orientation of the scanned area (28, 28′

, 28″

, 28′

″

) or of the distance image sensor (14), in particular the pitch angle.

11. Method in accordance with claim 1,

characterized in that

for the determination of the orientation at least two calibration surfaces (46, 46′

, 46″

) which are spaced from one another in a direction transverse to a beam direction of the distance image sensor (14) are used on which regions are respectively inclined in a predetermined manner relative to the longitudinal axis or vertical axis of the vehicle.

12. Method in accordance with claim 11,

characterized in that

an angle between connecting lines between the calibration surfaces (46, 46′

, 46″

) and the distance image sensor (14) lies between 5° and

180°

.

13. Method in accordance with claim 1,

characterized in that

the values of the parameters which describe the orientation are determined in dependence on one another.

14. Method in accordance with claim 1,

characterized in that

for the determination of a rotation of a reference direction in the scanned area (28, 28′

, 28″

, 28′

″

) or of a reference direction of the distance image sensor (14) at least approximately about the vertical axis of the vehicle, or about a normal to the scanned area (28, 28′

, 28″

, 28′

″

), at least one calibration surface (50, 50′

) is used, the form and alignment of which relative to a reference direction of the vehicle (10) is predetermined,

in that the positions of at least two regions on the calibration surface (50, 50′

) are determined by means of the distance image sensor (14) and in that a value of a parameter which reproduces the angle of the rotation, in particular of a yaw angle, is determined in dependence on the positions that are found.

15. Method in accordance with claim 14,

characterized in that

two calibration surfaces (50, 50′

) are used, the shape of which is predetermined and which are inclined relative to one another in a plan parallel to a surface (12) on which the vehicle (10) stands with the alignment of at least one of the calibration surfaces (50, 50′

) relative to the reference direction of the vehicle (10) being predetermined,

in that the positions of at least two regions on each of the calibration surfaces (50, 50′

) are in each case determined by means of the distance image sensor (14) and

in that the value of the parameter is determined in dependence on the positions.

16. Method in accordance with claim 14,

characterized in that

two calibration surfaces (50, 50′

) are used, the shape of which and the position of which relative to one another and at least partly to the vehicle (10) is predetermined and which are inclined relative to one another in the sections in the direction towards a surface (12) on which the vehicle (10) stands, and in that at least two distance image points are determined by means of the distance image sensor (14) on each of the calibration surfaces (50, 50′

) and the position of a reference point set by the calibration surfaces (50, 50′

) is determined on the basis of the detected positions of the distance image points, the shape of the calibration surfaces (50, 50′

) and the relative positions of the calibration surfaces (50, 50′

) to one another and to the vehicle (10) and is set into relationship with a predetermined desired position.

17. Method in accordance with claim 16,

characterized in that

contour lines on the calibration surfaces (50, 50′

) are determined by means of the distance image points that are detected and

the position of the reference point is determined from the contour lines.

18. Method in accordance with claim 16,

characterized in that

the calibration surfaces are flat and

in that the reference point lies on an intersection line of the planes set by the calibration surfaces (50, 50′

).

19. Method in accordance with claim 1,

characterized in that

a video camera (18) is calibrated for the detection of video images of at least a part of the detection range (26) of the distance image sensor (14), at least partly in relationship to an alignment relative to the distance image sensor (14) and/or to the vehicle (10) in that the position of a surface (54) for the video calibration is determined by means of the distance image sensor (14) taking account of the calibration of the distance image sensor (14), the position of a calibration feature on the surface (54) is detected by means of the video camera for the video calibration and the value of a parameter which at least partly reproduces the alignment is determined from the position of the calibration feature in the video image and the position of the surface (54) for the video calibration.

20. Method in accordance with claim 19,

characterized in that

a position of the calibration feature in the image is determined in dependence on position coordinates of the calibration feature determined by means of the distance image sensor (14) by means of a rule for the imaging of beams in the three-dimensional space onto a sensor surface of the video camera (18), preferably by means of a camera model.

21. Method in accordance with claim 19,

characterized in that

the surface (54) for the video calibration is arranged in a known position relative to the calibration surfaces (50, 50′

) for the determination of a rotation of a reference direction in the scanned area (28, 28′

, 28″

, 28′

″

) or of a reference direction of the distance image sensor (14) at least approximately about the vertical axis of the vehicle or about a normal to the scanned area (28, 28′

, 28″

, 28′

″

) and is in particular associated with these.

22. Method in accordance with claim 19,

characterized in that

the calibration feature is formed on one of the calibration surfaces (50, 50′

).

23. Method in accordance with claim 19,

characterized in that

internal parameters of a camera model of the video camera (18) are determined by means of the calibration feature.