Abstract: Methods and systems are presented for generating visual and audible aids for a human that is driving a vehicle. In one example, a visual indication is provided during conditions when a wheel speed exceeds a vehicle reference speed by more than a threshold speed. In another example, an audible indication is provided during conditions when a vehicle speed exceeds a vehicle reference speed by more than a threshold speed.

Abstract: A vehicle maneuvering scenario can be identified based on data from vehicle sensors including at least one of (a) a location of the vehicle, or (b) data indicating that a first steering wheel rotation in a first direction and a second steering wheel rotation in a second direction each exceed a rotation threshold. A steering ratio can be determined based on the vehicle maneuvering scenario. Vehicle steering can then be actuated according to the steering ratio.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to use front load estimates for body control are disclosed herein. An example vehicle includes a front axle, a suspension system including a suspension element, and a processor to execute instructions to generate, based on a load on the front axle and a velocity of the vehicle, a body control adjustment, determine a modified body control output based on the body control adjustment and an unmodified body control output, and apply the modified body control output to the suspension element of the vehicle.

Abstract: A vehicle includes one or more actuatable mudflap portions provided to the vehicle, capable of deployment and retraction to respectively increase and decrease deflection of wheel-spray and receives vehicle sensor information indicating driving conditions. The vehicle examines the sensor information to determine the presence of a first condition predefined as suitable for deployment of at least one of the mudflap portions. Further, the vehicle examines the sensor information to determine that no one or more of second conditions predefined as blocking deployment are met and, responsive to the presence of the first condition and the absence of the second conditions, automatically deploys the at least one mudflap portion.

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: Methods and apparatus to identify loads lost from vehicles are disclosed. An example apparatus to identify a load lost from a vehicle includes at least one memory, machine readable instructions, and processor circuitry to at least one of instantiate or execute the machine readable instructions to determine a first load carried by the vehicle at a first time, determine a second load carried by the vehicle at a second time after the first time, identify a lost load occurrence in response to a load difference between the first load and the second load satisfying a lost load threshold, and generate an alert indicative of the lost load occurrence.

Abstract: Methods, apparatus, systems, and articles of manufacture to determine the load of a vehicle via calibrate a suspension sensor are disclosed herein. An example vehicle described herein includes a force transducer, an actuator coupled to the force transducer, memory including instructions and a processor to execute the instructions to engage the actuator to a bottom surface of a vehicle, apply a first force to the bottom surface via the actuator, determine a first displacement of a first suspension component of the vehicle, and calibrate a first sensor of the vehicle based on the first force and the first displacement.

Abstract: A vehicle control system may include a sensor network sensing vehicle attitude information and a controller operably coupled to the sensor network to determine, based on the vehicle attitude information, movement of a center of gravity of the vehicle relative to an axis of rotation of the vehicle. The controller may further determine a modification to a torque application of the vehicle based on the movement of the center of gravity of the vehicle relative to the axis of rotation of the vehicle.

Abstract: A system and method for operating a vehicle to mitigate vision obstructions includes collecting data on potential vision obstructions in a sightline of an operator of a vehicle, determining, based on the data, that a vision obstruction has occurred or is about to occur, and actuating a corrective measure in the vehicle. Collected data may include camera data from inside the vehicle and estimated environmental conditions, and the collected data may be used to disable the ADAS based on a detected or impending vision obstruction.

Abstract: A vehicle includes at least one drive wheel, a powerplant, a clutch, and a controller. The powerplant is configured to generate and deliver power to the at least one drive wheel. The clutch is disposed between the at least one drive wheel and the powerplant. The controller is programmed to, in response to detecting the at least one drive wheel disengaging the ground during a vehicle jump, open the clutch to disconnect the at least one drive wheel from the powerplant.

Abstract: A method of controlling a vehicle may include determining a proximity to a stuck condition based on measured vehicle motion parameters and a wheel speed measured by a wheel speed sensor associated with one or more wheels of the vehicle. The method may further include generating a notification to a driver of the vehicle in response to the proximity to the stuck condition indicating that the vehicle is either in a stuck condition or a nearly stuck condition, and responsive to driver selection of an unstuck mode, executing an unstuck algorithm to automatically control operation of the vehicle to achieve a free condition.

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 method of controlling a vehicle may include determining a proximity to a stuck condition based on measured vehicle motion parameters and a wheel speed measured by a wheel speed sensor associated with one or more wheels of the vehicle. The method may further include generating a notification to a driver of the vehicle in response to the proximity to the stuck condition indicating that the vehicle is either in a stuck condition or a nearly stuck condition, and responsive to driver selection of an unstuck mode, executing an unstuck algorithm to automatically control operation of the vehicle to achieve a free condition.

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: Example methods and systems for optimizing vehicle ride performance are disclosed herein. An example apparatus includes a calculator to calculate a vertical velocity of a vehicle wheel and a comparer to perform a comparison of the vertical velocity to a threshold. The example apparatus includes a damping force manager to determine a damping force to be generated by a vehicle suspension system based on the comparison and a communicator to transmit a request including the damping force to be generated to the vehicle suspension system.

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: Example methods and systems for optimizing vehicle ride performance are disclosed herein. An example apparatus includes a calculator to calculate a vertical velocity of a vehicle wheel and a comparer to perform a comparison of the vertical velocity to a threshold. The example apparatus includes a damping force manager to determine a damping force to be generated by a vehicle suspension system based on the comparison and a communicator to transmit a request including the damping force to be generated to the vehicle suspension system.

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, and articles of manufacture to correct clear vision errors in a vehicle steering system are disclosed. An example apparatus includes a first sensor and a second sensor to measure a current position of a steering column and a current position of a steering wheel in a vehicle steering system. The example apparatus further includes a non-uniformity manager to map the current position to an offset, and an active steering system to apply the offset to adjust the current position of the steering wheel to a nominal position of the steering wheel to compensate for a clear vision error.