Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to use front load estimates for body control are disclosed herein. An example apparatus disclosed herein includes memory including stored instructions, and a processor to execute the instructions to filter sensor data to generate a first load value, the first load value associated with a first load on a front axle of a vehicle, generate, based on the first load value and a velocity of the vehicle, a first body control adjustment value, modify a body control output value with the first body control adjustment value, and apply the modified body control output value to a suspension system of the vehicle.

Abstract: A system for damping control for a vehicle includes a parameter component and a damping adjustment component. The parameter component is configured to determine one or more driving parameters of a vehicle. The one or more driving parameters include a velocity of the vehicle. The damping adjustment component is configured to adjust damping of suspension of the vehicle during driving based on the one or more driving parameters. The damping adjustment component is also configured to adjust damping of suspension at a zero velocity for a threshold time period in response to transitioning from a non-zero velocity to the zero velocity.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to use front load estimates for body control are disclosed herein. An example apparatus disclosed herein includes memory including stored instructions, and a processor to execute the instructions to filter sensor data to generate a first load value, the first load value associated with a first load on a front axle of a vehicle, generate, based on the first load value and a velocity of the vehicle, a first body control adjustment value, modify a body control output value with the first body control adjustment value, and apply the modified body control output value to a suspension system of the vehicle.

Abstract: A novel system and method are described that allows for implementation of compact and efficient deep learning AI solutions to advanced sensor signal processing functions. The process includes the following stages: (1) A method for generating requisite annotated training data in sufficient quantity to ensure convergence of a deep learning neural network (DNN); (2) A method for implementing the resulting DNN onto a Spiking Neural Network (SNN) architecture amenable to efficient neuromorphic integrated circuit (IC) architectures; (3) A method for implementing the solution onto a neuromorphic IC; and (4) A statistical method for ensuring reliable performance.

Abstract: A system for damping control for a vehicle includes a parameter component and a damping adjustment component. The parameter component is configured to determine one or more driving parameters of a vehicle. The one or more driving parameters include a velocity of the vehicle. The damping adjustment component is configured to adjust damping of suspension of the vehicle during driving based on the one or more driving parameters. The damping adjustment component is also configured to adjust damping of suspension at a zero velocity for a threshold time period in response to transitioning from a non-zero velocity to the zero velocity.

Abstract: A system for damping control for a vehicle includes a parameter component and a damping adjustment component. The parameter component is configured to determine one or more driving parameters of a vehicle. The one or more driving parameters include a velocity of the vehicle. The damping adjustment component is configured to adjust damping of suspension of the vehicle during driving based on the one or more driving parameters. The damping adjustment component is also configured to adjust damping of suspension at a zero velocity for a threshold time period in response to transitioning from a non-zero velocity to the zero velocity.

Abstract: A system for damping control for a vehicle includes a parameter component and a damping adjustment component. The parameter component is configured to determine one or more driving parameters of a vehicle. The one or more driving parameters include a velocity of the vehicle. The damping adjustment component is configured to adjust damping of suspension of the vehicle during driving based on the one or more driving parameters. The damping adjustment component is also configured to adjust damping of suspension at a zero velocity for a threshold time period in response to transitioning from a non-zero velocity to the zero velocity.

Abstract: A system for damping control for a vehicle includes a parameter component and a damping adjustment component. The parameter component is configured to determine one or more driving parameters of a vehicle. The one or more driving parameters include a velocity of the vehicle. The damping adjustment component is configured to adjust damping of suspension of the vehicle during driving based on the one or more driving parameters. The damping adjustment component is also configured to adjust damping of suspension at a zero velocity for a threshold time period in response to transitioning from a non-zero velocity to the zero velocity.

Abstract: A system for damping control for a vehicle includes a parameter component and a damping adjustment component. The parameter component is configured to determine one or more driving parameters of a vehicle. The one or more driving parameters include a velocity of the vehicle. The damping adjustment component is configured to adjust damping of suspension of the vehicle during driving based on the one or more driving parameters. The damping adjustment component is also configured to adjust damping of suspension at a zero velocity for a threshold time period in response to transitioning from a non-zero velocity to the zero velocity.