An apparatus and a method for controlling a behavior of a vehicle that travels on a road. The behavior control apparatus for a vehicle and the method provide that the driver may safely return the vehicle to a paved road surface while compensating for the behavior of the vehicle based on an external force generated by deviation of one-side wheels of the vehicle from the paved road surface.

In one aspect, a system for providing brake-assisted steering to a work vehicle may include at least one sensor configured to detect at least one parameter associated with a wheel speed differential defined between first and second wheels of the work vehicle. The system may also include a controller configured to determine a target wheel speed differential between the first and second wheels when it is determined that a change in the direction of travel of the work vehicle has been initiated. Furthermore, the controller may be configured to control the operation of a first or second braking device of the work vehicle such that a braking force is applied to an inside wheel of the work vehicle in a manner that adjusts the wheel speed differential towards the target wheel speed differential.

Methods and systems for autonomously steering a moving vehicle are disclosed. A processor determines a longitudinal velocity, a longitudinal acceleration, a lateral acceleration, and a yaw rate of the vehicle. The processor estimates, based on the longitudinal velocity, lateral acceleration, and yaw rate of the vehicle, a change in lateral velocity over time. The processor estimates, based on the change in the lateral velocity over time, the yaw rate, a distance between the front axle of the vehicle and a center of gravity of the vehicle, and a distance between the rear axle of the vehicle and the center of gravity of the vehicle, a lateral front velocity of the vehicle and a lateral rear velocity of the vehicle. Using calculations, a state estimation model for the vehicle is updated by the processor using a lateral acceleration bias. The updated state estimation model is used to autonomously steer the vehicle.

A control system for a motor vehicle includes a central tire inflation system (CTIS) controller and at least one other vehicle system controller arranged to control a system associated with the at least one other vehicle system controller. The CTIS controller controls the CTIS to cause inflation and deflation of one or more tires and is configured to cause the CTIS to operate in a selected one of a plurality of operating modes in each of which the system is configured to set a pressure of one or more tires. The CTIS controller is configured to generate and output a first signal indicative of pressure of the one or more tires, the at least one other system controller being configured to receive the first signal and to control operation of the system associated with the at least one other vehicle system controller in dependence on the first signal.

A method for a steering control of a vehicle to improve steering restoration when the vehicle escapes from a turn path via acceleration during high-speed turning. The vehicle steering control method includes determining whether or not a vehicle is rapidly accelerating in a high-speed turning state, and providing a restoration compensation torque in a vehicle steering restoration direction using a steering motor when it is determined that the vehicle is rapidly accelerating in the high-speed turning state. In particular, the restoration compensation torque is determined based on a relationship of a steering torque, a wheel speed, a number of revolutions of an engine, and a steering angular speed of the vehicle.

A number of variations may include a system, method, a non-transitory computer readable medium having instructions thereon executable by an electronic processor to implement functionality comprising enhancing the curvature capability of a tertiary rack and pinion actuator by using brake-to-steer while the tertiary rack and pinion actuator is operating.

Disclosed is a method using a brake-to-steer model predictive control to providing a limited level of lateral control for self-driving or semi-self-driving vehicles, when a component of a vehicle steering system fails or is failing.

A method generates a setpoint for controlling a steering system and a differential braking system of a motor vehicle. The method includes: acquiring a value relating to a total yawing moment to be applied to the motor vehicle such that it follows a required path, and the speed of the motor vehicle, calculating, as a function of the speed, at least one threshold relating to the maximum proportion of the total yawing moment that the steering system or that the differential braking system can provide, determining, as a function of the threshold, a distribution rate relating to the proportion of the total yawing moment that the steering system or that the differential braking system must provide, and generating a setpoint for controlling the steering system and the differential braking system as a function of the distribution rate and of the value relating to the total yawing moment.

A method of implementing autonomous emergency braking (AEB) for advanced driver-assistance systems (ADAS), the method includes receiving one or more first inputs and identifying one or more targets external to a host vehicle based on the one or more first inputs. The method further includes receiving one or more second inputs related to a turning status of the host vehicle and detecting a U-turn state associated with the host vehicle based on the one or more second inputs. The AEB algorithm may be modified in response to the detected U-turn state, wherein the AEB algorithm initiates an AEB event as necessary to avoid collisions with the one or more identified targets.

An electrohydraulic braking method for mobile working machines, in particular agricultural machines, is disclosed. The method is designed to detect external signals and to transmit them to a control unit, in which the signals are processed and based on which at least one target braking pressure is determined. In a next step, a valve flow is calculated on the basis of the target brake pressures, which valve flow is transmitted to a control valve of a brake actuation pedal, resulting in a braking pressure in a hydraulic circuit of the agricultural machine and the adjustment of brake steering. The disclosure further relates to a brake function arrangement designed to perform the electrohydraulic braking method.