Driver assistance method with virtual target for adaptive cruise control
US-2023234585-A1 · Jul 27, 2023 · US
US12420779B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12420779-B2 |
| Application number | US-202118258096-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 16, 2021 |
| Priority date | Dec 17, 2020 |
| Publication date | Sep 23, 2025 |
| Grant date | Sep 23, 2025 |
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A method controls a motor vehicle equipped with at least two perception sensors to avoid a target. The control method includes: determining data of the sensors, fusing the data of the sensors so as to determine the steering wheel angle, the vehicle speed and the vehicle heading, planning an avoidance path to avoid the target, taking the form of a Euler spiral, refining the avoidance path depending on the steering wheel angle, on the vehicle speed and on the vehicle heading and based on the solution of an optimisation problem, controlling the vehicle so as to follow the refined path, the refining the path including honing the avoidance path depending on the path length, on the direction of steering wheel rotation and on the final heading and refining the honed trajectory depending on the initial heading and on the direction of steering wheel rotation.
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The invention claimed is: 1. A method for controlling a motor vehicle for avoidance of a target, the motor vehicle being provided with at least two perception sensors, the control method comprising: determining data from the at least two sensors, merging the data from the at least two sensors so as to determine at least a steering wheel angle, a speed of the vehicle and a heading of the vehicle, planning of a target avoidance path in the form of a clothoid, refining the target avoidance path as a function of the steering wheel angle, the speed of the vehicle and the heading of the vehicle and based on solving of an optimization problem, controlling the vehicle so as to implement the refined path, the refining the target avoidance path comprising a first series of substeps to further improve the avoidance path as a function of a length of the path, of a direction of rotation of the steering wheel, and of a final heading and a second series of substeps to refine the further improved path as a function of an initial heading and of the direction of rotation of the steering wheel, wherein the first series of substeps comprises the following substeps: initialization parameters of the optimization problem are determined as a function of the reference path and of the data from the merge, the initialization parameters comprising a reference longitudinal displacement, a reference lateral displacement, a reference vehicle heading, a reference vehicle path curvature, an initial heading of the vehicle, and an initial steering wheel angle, the optimization problem is solved and a determination is made as to whether an optimal solution exists by determining when the solution of the optimization problem corresponds to a minimum of a predefined cost function and when the solution of the optimization problem satisfies a constraint on the final heading of the vehicle, when the solution of the optimization problem corresponds to the minimum of the predefined cost function and when the solution of the optimization problem satisfies the constraint on the final heading of the vehicle, the steering wheel angle profile is determined from the instant of activation of the control method, then a determination is made as to whether the sign of the steering wheel angle associated with a first extremum of the steering wheel angle profile has the same sign as the sign of the steering wheel angle of the reference path and when there is a sign opposite the sign of the steering wheel angle associated with the first extremum over the duration of the optimized path; when such is the case, the solution of the optimization problem is considered as an improved path, and wherein a constraint of the optimization problem is that a final value of the lateral displacement of the improved path is greater than or equal to the final value of the lateral displacement targeted by the reference path. 2. The control method as claimed in claim 1 , wherein the optimization problem is a function of a reference longitudinal displacement, of a reference lateral displacement, of a reference vehicle heading, of a curvature of the path of the reference vehicle and of a decision vector comprising the speed of variation of the curvature of the path and the distance travelled with respect to the origin and of empirically determined setting parameters, and of constraints on the initial longitudinal displacement, on an initial lateral displacement, on a final lateral displacement, on the steering wheel angle, on the speed of rotation of the steering wheel and on the final heading value. 3. The control method as claimed in claim 1 , wherein, when it is determined that an optimal solution does not exist, the path is extended by a predetermined duration, then the method is resumed at the solving of the optimization problem by taking account of the path extension, the predetermined duration being increased on each successive occurrence of determination that an optimal solution does not exist. 4. The control method as claimed in claim 1 , wherein, when the steering wheel angle profile is not satisfactory because the sign of the steering wheel angle associated with a first extremum of the steering wheel angle profile is not the same sign as the sign of the steering wheel angle of the reference path, a longitudinal offset is applied to the reference path, and the optimization problem is solved again, then the method is resumed at the determination of the steering wheel angle profile, the longitudinal offset being increased on each successive occurrence of determination that the steering wheel angle profile is not satisfactory. 5. The control method as claimed in claim 1 , wherein a constraint of the optimization problem is that the longitudinal displacement of the points of the improved path must be equal to the longitudinal displacement of the points in the reference path. 6. The control method as claimed in claim 1 , wherein a constraint of the optimization problem is that the final value of the heading of the vehicle of the improved path must lie within a restricted range of values. 7. The control method as claimed in claim 1 , wherein a constraint of the optimization problem is that the lateral displacement of the points of the improved path must be less than the lateral displacement of an extreme line not to be exceeded upon a correction. 8. The control method as claimed in claim 1 , wherein the second series of substeps comprises the following substeps: new initialization parameters are determined as a function of the improved path and of the merging data, a predetermined lateral offset is applied to the improved path and the optimization problem is solved, a determination is made as to whether an optimal solution exists by determining when it corresponds to a minimum of a predefined cost function, when such is the case, the steering wheel angle profile is determined from the instant of the control method and a determination is made as to whether the sign of the steering wheel angle associated with the first extremum of the steering wheel angle profile has the same sign as the sign of the steering wheel angle of the reference path and when there is at most an extremum of a sign opposite the first extremum over the duration of the optimized path; when such is the case, the solution of the optimization problem is considered as a final refined path. 9. The control method as claimed in claim 8 , wherein, when it is determined that an optimal solution does not exist, the initial heading is reduced by a predetermined angular deviation then the method is resumed at the solving of the optimization problem, the angular deviation being increased on each successive occurrence of that an optimal solution does not exist. 10. The control method as claimed in claim 8 , wherein, when it is determined that the optimal solution does not satisfy the steering wheel angle constraints, a longitudinal offset is applied to the improved path, the optimization problem is solved, then the method is resumed at the determination of the steering wheel angle profile, the longitudinal offset being increased on each successive occurrence of determination that the steering wheel angle profile is not satisfactory. 11. The control method as claimed in claim 1 , wherein the predetermined duration, the angular deviation and the longitudinal offset are incremented successively up to predetermined limit values; when such is the case, the refining is interrupted and the reference path is implemented during the controlling. 12. A system for controlling a motor vehicle for avoidance of a target, comprising the at least one two perception sensors, and at least one computation means c
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