METHOD FOR CALIBRATING AN IMAGE CAPTURE DEVICE

• US 20140063252A1
• Filed: 08/27/2013
• Published: 03/06/2014
• Est. Priority Date: 08/29/2012
• Status: Abandoned Application

• Current Assignee: Delphi Technologies, Inc. (Aptiv PLC)
• Original Assignee: Delphi Technologies, Inc. (Aptiv PLC)
• Inventors: MEUTER, MIRKO, MUELLER, DENNIS, NUNN, CHRISTIAN, ZHAO, KUN, IURGEL, URI
• Application Number:
  US14/011,025
• Publication Number:
  US 20140063252A1
• Time in Patent Office: Days
• US Class Current: 348/148
• CPC Class Codes: G06T 2207/30256 Lane; Road marking
• CPC Class Codes: G06T 7/80 Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration
• CPC Class Codes: H04N 17/002 for television cameras

Abstract

In a method for calibrating an image capture device that is mounted on a motor vehicle and able to successively capture images of a road area located in front of the vehicle, at least two image objects which correspond to line segments which are straight and substantially parallel to each other in world coordinates are detected in a captured image. With the aid of the image objects, the position of a vanishing point in the captured image is estimated and tracked by a tracking method. In the process, an error is calculated for the position of the vanishing point. As soon as the calculated error decreases to less than a predetermined threshold value, the image capture device is calibrated with reference to the position of the vanishing point associated with the error.

Claims

1. A method for calibrating an image capture device mounted on a vehicle and able to capture successively images of a road area located in front of the vehicle, said method comprising:

detecting in a captured image at least two image objects that correspond to line segments characterized as straight and substantially parallel to each other in world coordinates;

estimating a position of a vanishing point in the captured image based on the image objects;

tracking the position of the vanishing point in subsequently captured images, and calculating an error for the position of the vanishing point; and

calibrating the image capture device with the position and the error if the error is less than a threshold value.

2. The method according to claim 1, wherein the method includes

calculating a single-image error for the position of the vanishing point that is related to the respective captured image and based on respective image-object errors associated with the detected image objects.

3. The method according to claim 2, wherein the image-object errors are also produced in the process of estimating the position of the vanishing point, and the single-image error is determined based on the propagated image-object errors.

4. The method according to claim 1, wherein the position of the vanishing point is estimated directly based on the image objects extended as lines, wherein the vanishing point is deemed to be the point on the image sensor that is at a minimum distance from the image objects extended as lines.

5. The method according to claim 1, wherein the estimated position of the vanishing point is further tracked as long as the calculated error is not less than the threshold value, and tracking of the position of the vanishing point is interrupted and an error message is issued if the calculated error after a predetermined length of time or after a predetermined number of update steps of the tracking method has not decreased to less than the threshold value.

6. The method according to claim 1, wherein the method further comprises

preventing the issuing of a calibration parameter determined from the estimated position of the vanishing point to a control device that uses the calibration parameter if the calculated error has not decreased to less than the threshold value.

7. The method according to claim 1, wherein the step of tracking is carried out by a recursive estimator.

8. The method according to claim 1, wherein the method is repeated continuously while the vehicle is running, and the method is performed every time the vehicle is started and after each reinstallation of the image capture device.

9. The method according to claim 1, wherein a plurality of horizontal image areas are fixed in the image, wherein at least two image objects are detected for each image area and, based on these image objects, the position of a vanishing point for the corresponding image area is estimated.

10. The method according to claim 9, wherein the positions of the vanishing points of the individual image areas are merged by a filtering method into the position of a vanishing point for the whole image.

11. The method according to claim 1, wherein the image objects to be detected correspond to one of sections of a lane marking, a kerb extending along a roadway, and an object extending along the roadway.

12. The method according to claim 1, wherein the image objects to be detected correspond to trajectories of image characteristics present in several successively captured images.

13. An apparatus for calibrating an image capture device that is mounted on a motor vehicle and connected to a data processing device configured to carry out a method according to claim 1.

14. A method for calibrating an image capture device (10) which is mounted on a motor vehicle and able to successively capture images (20) of a road area located in front of the vehicle, wherein

at least two image objects (25a, 25b) which correspond to line segments which are straight and substantially parallel to each other in world coordinates are detected in a captured image (20),

based on the image objects (25a, 25b), the position of a vanishing point (15) in the captured image (20) is estimated,

by a tracking method the estimated position of the vanishing point (15) is tracked in subsequently captured images (20) and, by said same tracking method, an error is calculated for the position of the vanishing point (15), and

as soon as the calculated error falls below a predetermined threshold value, the image capture device (10) is calibrated with reference to the position of the vanishing point (15) associated with the error.

15. The method according to claim 14, characterized in that

based on respective image-object errors associated with the detected image objects (25a, 25b), a single-image error related to the respective captured image (20) is calculated for the position of the vanishing point (15).

16. Method according to claim 15, characterized in that

the image-object errors are also produced in the process of estimating the position of the vanishing point (15), and the single-image error is determined based on the propagated image-object errors.

17. The method according to claim 14, characterized in that

the position of the vanishing point (15) is estimated directly based on the image objects (25a, 25b) extended as lines, wherein preferably the vanishing point (15) is deemed to be the point on the image sensor (12) which is at a minimum distance from the image objects (25a, 25b) extended as lines.