The invention relates to a method for the calibration of a yaw rate measurement in a motor vehicle.
An accurate determination of the yaw rate in a motor vehicle is of interest e.g. for driver's assistance systems such as ESP (electronic stability program), ABS (antiblock system). Besides, knowledge of the yaw rate and of an angle of roll derivable therefrom is of importance for sensor systems to detect the environment. Short-term changes of the angle of roll of a vehicle, as they appear e.g. when cornering, complicate e.g. an accurate lane prediction. An accurate knowledge of the yaw rate and/or the angle of roll can be used to correct the sensor data.
The output signal of a yaw rate sensor is subject to certain malfunction influences, so e.g. due to the temperature dependency of the sensor the output signal can drift slowly. Thus, for an accurate determination of the yaw rate the calibration of the measurement values is also necessary during operation of the vehicle.
It is, therefore, object of the present invention to indicate a method for the calibration of a yaw rate measurement which is carried out during operation of the motor vehicle.
This object is solved according to the invention by a method for the calibration of a yaw rate measurement in a motor vehicle, as disclosed and claimed herein.
A method for the calibration of a yaw rate measurement in a motor vehicle is presented, which is carried out during operation of the motor vehicle. The motor vehicle comprises at least one device for determining the yaw rate, a steering angle sensor and a camera system which is in the forward-position, which detects the vehicle environment in the direction of driving. For determining the yaw angle with high accuracy, at least one initial calibration of the measured yaw rate is carried out at a standstill and at least one second calibration is carried out when the motor vehicle is moving.
The vehicle standstill can be recognized e.g. on the basis of a measurement of the speed. As an alternative also the position of the hand brake (activated or not), the position of the gear lever (gear engaged or not), the yaw rate, the wheel speed etc. can serve as an indicator. The indicators can also be optionally linked with each other. For example, a standstill of the vehicle is assumed, if no gear is engaged and the hand brake is activated. If the yaw rate changes strongly within a predetermined time interval, it is assumed that the vehicle is moving. In a preferred embodiment of the invention the image data of at least one image sensor are used in a calibration when the vehicle is moving, wherein the image sensor detects the environment in front of the motor vehicle. From the image data a lane is predicted. From the course of the lane, the vehicle's driving straight ahead or its cornering and thus the yaw rate are estimated. From the yaw rate ωz and the vehicle speed v, also the transverse acceleration of the vehicle can be determined with the relation ay=vωz.
In a special embodiment of the invention the steering angle is used for calibration when the vehicle is moving. This is in particular the case, if an estimation of the yaw rate from a camera picture is not successful.
In a preferred embodiment of the invention with standstill of the vehicle the yaw rate values are averaged over a certain period of time and the averaged value is used as a correction value for future measurements. For the averaging the first and the last value and values which strongly deviate from the adjacent measurement values are not taken into consideration.
In a preferred embodiment of the invention the output value of the yaw rate is compensated in several steps. Connecting the correction value in small steps within a certain time interval is particularly reasonable in case the correction value exceeds a predetermined value. Likewise it is possible instead to continuously correct the output values at a predetermined time interval.
In the following the invention is further described on the basis of examples of embodiment and of a drawing, in which
A method for calibration of the yaw rate is schematically represented in
Number | Date | Country | Kind |
---|---|---|---|
10 2006 018 874 | Apr 2006 | DE | national |
Filing Document | Filing Date | Country | Kind | 371c Date |
---|---|---|---|---|
PCT/DE2007/000693 | 4/19/2007 | WO | 00 | 10/24/2008 |
Publishing Document | Publishing Date | Country | Kind |
---|---|---|---|
WO2007/121720 | 11/1/2007 | WO | A |
Number | Name | Date | Kind |
---|---|---|---|
4470124 | Tagami et al. | Sep 1984 | A |
5274576 | Williams | Dec 1993 | A |
5719790 | Lohrenz et al. | Feb 1998 | A |
5857160 | Dickinson et al. | Jan 1999 | A |
6130706 | Hart et al. | Oct 2000 | A |
6317674 | Lohberg et al. | Nov 2001 | B1 |
6718279 | Büstgens et al. | Apr 2004 | B2 |
6810311 | Winner et al. | Oct 2004 | B2 |
6915228 | Uffenkamp et al. | Jul 2005 | B2 |
Number | Date | Country |
---|---|---|
690 14 108 | Jun 1995 | DE |
195 02 858 | Jul 1996 | DE |
195 25 217 | Jan 1997 | DE |
693 27 418 | Jul 2000 | DE |
199 10 868 | Sep 2000 | DE |
101 28 056 | Nov 2002 | DE |
103 27 695 | Jan 2005 | DE |
0 563 885 | Dec 1999 | EP |
1 258 708 | Nov 2002 | EP |
0 893 320 | Oct 2003 | EP |
11-037774 | Feb 1999 | JP |
11-094874 | Apr 1999 | JP |
2002-202319 | Jul 2002 | JP |
Number | Date | Country | |
---|---|---|---|
20090089002 A1 | Apr 2009 | US |