Methods and systems for lateral control of a vehicle

US12434722B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12434722-B2
Application numberUS-202217953568-A
CountryUS
Kind codeB2
Filing dateSep 27, 2022
Priority dateSep 29, 2021
Publication dateOct 7, 2025
Grant dateOct 7, 2025

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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A computer implemented method for lateral control of a vehicle comprises the following steps carried out by computer hardware components: determining a location error of the vehicle; determining an orientation error of the vehicle; determining a cost function based on the location error and the orientation error using a circular transformation; and processing the cost function in a model predictive controller to control the vehicle laterally.

First claim

Opening claim text (preview).

The invention claimed is: 1. A computer-implemented method for lateral control of a vehicle, the computer-implemented method being carried out by computer hardware components and comprising: determining a location error of the vehicle; determining an orientation error of the vehicle; determining a cost function based on the location error and the orientation error using a circular transformation; and processing the cost function in a model predictive controller to control the vehicle laterally, wherein: the cost function includes an integral over an error term, the error term involves both the location error and the orientation error, the error term includes a product based on the location error and the orientation error, the cost function is determined according to equations (a) and (b): e tr =cos θ e 2 *tan −1 ( d−d ref )+sin θ e 2 *θ e   (a) J=∫ 0 T e tr 2   (b) θ e represents the orientation error with respect to a reference, d represents an initial value of a lateral offset from a vehicle sensor input, d ref represents a reference value that the vehicle should track, J represents the cost function that needs to be minimized, and T represents a prediction horizon. 2. The computer-implemented method of claim 1 , wherein the cost function comprises a non-holonomic ellipsoid cost function. 3. The computer-implemented method of claim 1 , wherein the cost function is based on a cosine function. 4. The computer-implemented method of claim 1 , wherein the cost function is based on a sine function. 5. The computer-implemented method of claim 1 , wherein the cost function is based on a tangent function. 6. The computer-implemented method of claim 1 , wherein controlling the vehicle laterally comprises determining the lateral offset of the vehicle. 7. The computer-implemented method of claim 1 , wherein controlling the vehicle laterally comprises determining an optimal steering angle value. 8. A computer system comprising a plurality of computer hardware components configured to carry out instructions including: determining a location error of a vehicle; determining an orientation error of the vehicle; determining a cost function based on the location error and the orientation error using a circular transformation; and processing the cost function in a model predictive controller to control the vehicle laterally, wherein: the cost function includes an integral over an error term, the error term involves both the location error and the orientation error, the error term includes a product based on the location error and the orientation error, the cost function is determined according to equations (a) and (b): e tr =cos θ e 2 *tan −1 ( d−d ref )+sin θ e 2 *θ e   (a) J=∫ 0 T e tr 2   (b) θ e represents the orientation error with respect to a reference, d represents an initial value of a lateral offset from a vehicle sensor input, d ref represents a reference value that the vehicle should track, J represents the cost function that needs to be minimized, and T represents a prediction horizon. 9. A vehicle comprising: the computer system of claim 8 ; and a sensor configured to determine the location error and/or the orientation error. 10. The vehicle of claim 9 , wherein the sensor comprises at least one of a radar sensor, a lidar sensor, an ultrasound sensor, a camera, or a global navigation satellite system sensor. 11. A non-transitory computer readable medium comprising instructions including: determining a location error of a vehicle; determining an orientation error of the vehicle; determining a cost function based on the location error and the orientation error using a circular transformation; and processing the cost function in a model predictive controller to control the vehicle laterally, wherein: the cost function includes an integral over an error term, the error term involves both the location error and the orientation error, the error term includes a product based on the location error and the orientation error, the cost function is determined according to equations (a) and (b): e tr =cos θ e 2 *tan −1 ( d−d ref )+sin θ e 2 *θ e   (a) J=∫ 0 T e tr 2   (b) θ e represents the orientation error with respect to a reference, d represents an initial value of a lateral offset from a vehicle sensor input, d ref represents a reference value that the vehicle should track, J represents the cost function that needs to be minimized, and T represents a prediction horizon.

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What does patent US12434722B2 cover?
A computer implemented method for lateral control of a vehicle comprises the following steps carried out by computer hardware components: determining a location error of the vehicle; determining an orientation error of the vehicle; determining a cost function based on the location error and the orientation error using a circular transformation; and processing the cost function in a model predic…
Who is the assignee on this patent?
Aptiv Tech Ltd, Aptiv Technologies AG
What technology area does this patent fall under?
Primary CPC classification B60W50/0205. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Oct 07 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).