Method for the calibration of a yaw rate measurement

• US 7,684,945 B2
• Filed: 04/19/2007
• Issued: 03/23/2010
• Est. Priority Date: 04/25/2006
• Status: Active Grant

• Current Assignee: ADC GmbH (TE Connectivity Ltd. (United Kingdom))
• Original Assignee: ADC GmbH (TE Connectivity Ltd. (United Kingdom))
• Inventors: Walter, Michael, Zobel, Matthias, Hoer, Johannes
• Primary Examiner(s): Le; John H
• Application Number:
  US12/226,704
• Publication Number:
  US 20090089002A1
• Time in Patent Office: 1,069 Days
• Field of Search: 702/87, 702/94, 702/96, 702/104, 702/151, 702/92, 701/29, 701/41, 701/72, 707/5, 348/148
• US Class Current: 702/96
• CPC Class Codes: B60T 2250/062 loosing zero-point calibration of yaw rate sensors when travelling on banked roads or in case of temperature variations
• CPC Class Codes: B60T 8/172 Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters B60T8/17551 takes precedence
• CPC Class Codes: G01C 21/06 involving measuring of drift angle; involving correction for drift
• CPC Class Codes: G01C 25/00 Manufacturing, calibrating, cleaning, or repairing instruments or devices referred to in the other groups of this subclass testing, calibrating or compensating compasses G01C17/38

Abstract

In a method for the calibration of a yaw rate measurement in a motor vehicle, the motor vehicle features at least one device for determining the yaw rate, a camera system which is oriented in the forward direction, and, if applicable, a steering angle sensor or a lateral acceleration sensor. At least one initial calibration is carried out at a standstill and at least one second calibration is carried out when the motor vehicle is moving. The second calibration uses image data of the camera system, which detects the environment in front of the motor vehicle, to predict the course of the roadway lane on which the vehicle is driving, from which the yaw rate is estimated.

Claims

1. A method for the calibration of a yaw rate measurement in a motor vehicle, wherein the motor vehicle features at least one device for determining the yaw rate and a camera system, and optionally further features a steering angle sensor or a transverse acceleration sensor,

characterized in that

the camera system is oriented to detect an environment in front of the motor vehicle,

a first calibration is carried out when the motor vehicle is at a standstill, and

a second calibration is carried out when the motor vehicle is moving,

wherein for the second calibration when the vehicle is moving, the camera system detects the environment in front of the motor vehicle to produce image data, and a roadway lane on which the motor vehicle is driving is predicted from the image data, and a yaw rate is estimated from at least a course of the roadway lane as determined from the image data, and an actual yaw rate measurement is compensated based on the estimated yaw rate to produce a calibrated output value of the yaw rate.

2. A method according to claim 1, characterized in that for the second calibration when the vehicle is moving, a steering angle as determined by the steering angle sensor and/or a transverse acceleration as determined by the transverse acceleration sensor is additionally used for the estimation of the yaw rate, in particular if an estimation of the yaw rate from the image data alone is not sufficient.

3. A method according to claim 1, characterized in that with the standstill of the vehicle, yaw rate values are determined and averaged over a certain period of time to determine an averaged value, and the averaged value is used as a correction value of the actual yaw rate measurement.

4. A method according to claim 1, characterized in that the actual yaw rate measurement is compensated in several steps.

5. A method of calibrating a yaw rate measurement in a motor vehicle that includes a camera system and an arrangement for measuring a yaw rate of said motor vehicle, wherein said camera system is oriented to detect an environment in front of said motor vehicle, and said method comprises the steps:

measuring a measured yaw rate of said motor vehicle;

determining whether said motor vehicle is at a standstill or is driving;

performing a first calibration of said measured yaw rate when said motor vehicle is at a standstill;

performing a second calibration of said measured yaw rate when said motor vehicle is driving;

wherein said second calibration comprises;

detecting said environment in front of said motor vehicle using said camera system to produce image data;

evaluating said image data to determine therefrom a predicted driving lane on a roadway on which said motor vehicle is driving;

determining a predicted course of said driving lane;

from said predicted course of said driving lane, determining an estimated yaw rate of said motor vehicle driving along said predicted course of said driving lane; and

calibrating said measured yaw rate based on at least said estimated yaw rate.

6. The method according to claim 5, wherein said second calibration is performed when said motor vehicle is currently driving straight.

7. The method according to claim 6, wherein said step of determining whether said motor vehicle is at a standstill or is driving includes determining a driving speed of said motor vehicle, and further comprising a step of concluding that said motor vehicle is currently driving straight when said driving speed exceeds a prescribed speed threshold.

8. The method according to claim 7, wherein said step of determining said predicted course of said driving lane includes determining a radius of curvature of said driving lane, and further comprising a step of concluding that said motor vehicle is currently driving straight when said radius of curvature exceeds a prescribed speed threshold.

9. The method according to claim 5,

wherein said second calibration is performed when said motor vehicle is currently driving on a curve;

wherein said step of determining said predicted course of said driving lane includes determining a radius of curvature of said driving lane;

further comprising a step of concluding from said radius of curvature that said motor vehicle is currently driving on a curve;

wherein said step of measuring said measured yaw rate comprises recording and averaging said measured yaw rate over a prescribed time interval; and

wherein said step of calibrating said measured yaw rate comprises determining from said estimated yaw rate a correction value for said recorded and averaged measured yaw rate.

10. The method according to claim 5, wherein said motor vehicle further includes at least one of a steering angle sensor or a lateral acceleration sensor, further comprising at least one of producing a steering angle value from said steering angle sensor or producing a lateral acceleration value from said lateral acceleration sensor, and wherein said calibrating of said measured yaw rate is further based on at least one of said steering angle value or said lateral acceleration value if said estimated yaw rate is insufficient for said calibrating.

11. The method according to claim 5, wherein said first calibration comprises recording and averaging measured values of said measured yaw rate over a prescribed time interval to determine an average yaw rate value, and using said average yaw rate value as a correction value for said measured yaw rate.

12. The method according to claim 5, wherein said calibrating of said measured yaw rate is performed in several successive calibration steps of correcting said measured yaw rate successively partially toward said estimated yaw rate respectively in said successive calibration steps.

13. A method of calibrating a yaw rate measurement in a motor vehicle that includes a camera system and an arrangement for measuring a yaw rate of said motor vehicle, wherein said camera system is oriented to detect an environment in front of said motor vehicle, and said method comprises the steps:

measuring a measured yaw rate of said motor vehicle;

determining whether said motor vehicle is at a standstill or is driving;

performing a first calibration of said measured yaw rate when said motor vehicle is at a standstill, or performing a second calibration of said measured yaw rate when said motor vehicle is driving;

wherein said second calibration comprises;

detecting said environment in front of said motor vehicle using said camera system to produce image data;

evaluating said image data to determine therefrom a predicted driving lane on a roadway on which said motor vehicle is driving;

determining a predicted course of said driving lane including a radius of curvature of said driving lane;

from said predicted course of said driving lane, determining an estimated yaw rate of said motor vehicle driving along said predicted course of said driving lane having said radius of curvature; and

calibrating said measured yaw rate based on at least said estimated yaw rate;

wherein said second calibration is performed when said radius of curvature of said driving lane can be adequately determined; and

wherein only said first calibration is performed if in an attempt to perform said second calibration it is determined that said radius of curvature cannot be adequately determined.