Method for Providing Information on the Reliability of a Parametric Estimation of a Parameter for the Operation of a Vehicle
20230382421 ยท 2023-11-30
Inventors
- Lena Schindler (Schwieberdingen, DE)
- Marco Limberger (Appenweier-Urloffen, DE)
- Elena Sgarz (Leonberg, DE)
Cpc classification
B60W2530/00
PERFORMING OPERATIONS; TRANSPORTING
International classification
Abstract
The disclosure relates to a method for providing information on the reliability of a parametric estimation of a parameter for the operation of a vehicle, comprising at least the following steps: a) identifying an integrity range for the parametric estimation, the integrity range describing the range in which an estimated parameter is located with a minimum probability, b) identifying a validity indicator which describes the validity of the integrity range identified in step a), c) providing the integrity range identified in step a) and the validity indicator identified in step b).
Claims
1. A method for providing information on the reliability of a parametric estimation of a parameter for the operation of a vehicle, comprising: identifying an integrity range for the parametric estimation, the identified integrity range describing a range in which an estimated parameter is located with a minimum probability; identifying a validity indicator which describes a validity of the identified integrity range; and providing the identified integrity range and the identified validity indicator.
2. The method according to claim 1, wherein at least one of: identifying the integrity range comprises identifying the integrity range based on sensor data of at least one sensor of the vehicle; and identifying the validity indicator comprises identifying the validity indicator based on sensor data of the at least one sensor of the vehicle.
3. The method according to claim 1, wherein the integrity range is identified based on a statistical confidence information on the parametric estimation.
4. The method according to claim 1, wherein the identified validity indicator is identified using at least one piece of environmental information on an environment of the vehicle.
5. The method according to claim 1, wherein the identified validity indicator is identified using at least one piece of status information on a status of the vehicle or of a component thereof.
6. The method according to claim 1, wherein the identified validity indicator is identified using the identified integrity range identified in step a).
7. The method according to claim 1, wherein the identified validity indicator is provided as a value from a predetermined quantity of values.
8. The method of claim 1 wherein a computer program is executed by a controller, to perform the method.
9. The method of claim 8 wherein the computer program is stored on a non-transitory machine-readable storage medium.
10. The method of claim 1 wherein a controller for the vehicle is configured to perform the method.
Description
[0035]
[0036]
[0037]
[0038]
[0039] In block 110, according to step a), an integrity range 1 for the parametric estimation is identified, the integrity range 1 describing the range in which an estimated parameter is located with a minimum probability. In block 120, according to step b), a validity indicator 2 is identified which describes the validity of the integrity range 1 identified in step a). In block 130, according to step c), the integrity range 1 identified in step a) and the validity indicator 2 identified in step b) are provided.
[0040]
[0041] The integrity module 9 is, by way of example, configured to identify the integrity range 1 as a function of at least one piece of confidence information 5. The confidence information 5 may, for example, result from a Kalman filter estimation. In this context, the confidence information 5 may, for example, be provided in the form of or from a covariance matrix. The Kalman filter estimation may be based on sensor data from vehicle sensors.
[0042] The validity module 10 is, by way of example, configured to identify the validity indicator as a function of in particular vehicle-side conditions or information and/or conditions or information external to the vehicle and/or information on the integrity range 1. For this purpose, the validity module 10, by way of example, comprises a combiner 11 with which various pieces of information, such as vehicle-side conditions or information and/or conditions or information external to the vehicle and/or information on the integrity range 1, are combined to form the validity indicator 2 or are (pre)processed and the processed information can subsequently be combined to form the validity indicator 2. The various pieces of information may, for example, comprise sensor data 4, at least one piece of environmental information 6 and/or at least one piece of status information 7. Of course, further information may also be considered. The information may be generated by sensors 12 (cf.
[0043]
[0044]