Configuring an active suspension
AssigneeAutobrains Technologies Ltd
InventorsIgal Raichelgauz, Karina Odinaev
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Abstract
A method for configuring a configurable suspension, the method may include obtaining acquired sensed information that represent (a) one or more driving parameters of the vehicle, (b) one or more vehicle cabin disturbance parameters, (c) a configuration of a configurable suspension, and (d) a road segment that precedes the vehicle; selecting, out of multiple configurations of the configurable suspension, a selected configuration that one applied will attribute to obtain a desired human-in-vehicle comfort value; and triggering or requesting a setting of the configurable suspension to a configuration of the one or more configurations.
Claims15
A method for configuring a configurable suspension, the method comprises:
- obtaining sensed information that represents (a) driving parameters of a vehicle, (b) vehicle cabin disturbance parameters, (c) configurations of a configurable suspension, and (d) a road segment that precedes the vehicle;
- obtaining reference data structures, each reference data structure (i) comprises a reference vehicle disturbance parameters and reference road segment information, and (ii) is associated with a human-in-vehicle comfort value;
- wherein the reference data structures are clusters that are generated based, at least in part, on using a machine learning process;
- determining, based on the configurations of the configurable suspension and according to feedback from a human associated with a human-in-vehicle comfort value, a selected configuration that once applied will attribute to the human-in-vehicle comfort value;
- and
- commanding a computerized unit that controls a configuration of the configurable suspension to set the configuration of the configurable suspension according to the selected configuration.
A non-transitory computer readable medium, the non-transitory computer readable medium stores instructions for:
- obtaining sensed information that represents (a) driving parameters of a vehicle, (b) vehicle cabin disturbance parameters, (c) configurations of a configurable suspension, and (d) a road segment that precedes the vehicle;
- obtaining reference data structures, each reference data structure (i) comprises a reference vehicle disturbance parameters and reference road segment information, and (ii) is associated with a human-in-vehicle comfort value;
- wherein the reference data structures are clusters that are generated based, at least in part, on using a machine learning process;
- determining, based on the configurations of the configurable suspension and according to feedback from a human associated with a human-in-vehicle comfort value, a selected configuration that once applied will attribute to the human-in-vehicle comfort value;
- and
- commanding a computerized unit that controls a configuration of the configurable suspension to set the configuration of the configurable suspension according to the selected configuration.
A computerized system comprising a processor that is configured to:
- obtain sensed information that represents (a) driving parameters of a vehicle, (b) vehicle cabin disturbance parameters, (c) configurations of a configurable suspension, and (d) a road segment that precedes the vehicle;
- obtain reference data structures, each reference data structure (i) comprises a reference vehicle disturbance parameters and reference road segment information, and (ii) is associated with a human-in-vehicle comfort value;
- wherein the reference data structures are clusters that are generated based, at least in part, on using a machine learning process;
- determine, based on the configurations of the configurable suspension and according to feedback from a human associated with a human-in-vehicle comfort value, a selected configuration that once applied will attribute to the human-in-vehicle comfort value;
- and
- commanding a computerized unit that controls a configuration of the configurable suspension to set the configuration of the configurable suspension according to the selected configuration.
Dependencies are inferred from the claim text.