The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the method and apparatus include a memory operative to store a map data, a sensor operative to provide a location, a yaw rate sensor operative to measure a yaw rate, a processor for receiving the yaw rate, and a processor for determining a yaw rate calibration bias in response to the yaw rate, the location, and the map data, and a vehicle controller for controlling a vehicle in response to the yaw rate calibration bias.

A method and system of controlling a vehicle includes providing a plurality of dynamic state inputs to a controller in the vehicle that is adapted to execute a plurality of control loops and further includes determining an operating mode of the vehicle. Based on the operating mode of the vehicle, a location of an optimum perceived yaw center of the vehicle is determined corresponding to a selected estimation technique using the dynamic state inputs and wherein the estimation technique is selected based upon the determined operating mode of the vehicle. The information related to the location of the optimum perceived yaw center may be used as input for controlling the vehicle in a dynamic state.

A dynamic roll over control system generates ground speed signals indicative of a current speed and compares the current speed to a desired speed. The desired speed is determined based upon the machine characteristics, the payload of the bed, the yaw rate of the bed, the pitch rate of the bed, and the roll angle of the bed. When the current speed of the machine exceeds the desired speed, the controller generates prime mover control signals to control operation of the prime mover to slow the machine so the current speed does not exceed the desired speed.

A method for determining a safety-critical yawing motion of a vehicle includes comparing a specification signal representing an ascertained setpoint yaw rate of the vehicle for an anticipated trajectory of the vehicle to a measuring signal representing an instantaneous yaw rate of the vehicle measured based on an actual trajectory of the vehicle, thereby generating a comparison signal; checking whether an amplitude of the comparison signal exceeds a first threshold value and whether a frequency of the comparison signal exceeds a second threshold value; and, in response to the amplitude exceeding the first threshold and the frequency exceeding the second threshold, outputting a yawing-motion signal indicating presence of the safety-critical yawing motion of the vehicle.

A control apparatus for a four-wheel-drive vehicle is configured to determine whether or not a degree of a yaw movement for deflecting the vehicle to a left or right side is larger than a predetermined first degree. When the degree of the yaw movement is larger than the first degree, the control apparatus increases a coupling torque of a coupling device corresponding to a rear wheel at the same side as a direction of the yaw movement to a predetermined first torque value, and maintains at zero a coupling torque of a coupling device corresponding to a rear wheel at an opposite side to the direction of the yaw movement.

A control apparatus for a four-wheel-drive vehicle is configured to determine whether or not a degree of a yaw movement for deflecting the vehicle to a left or right side is larger than a predetermined first degree. When the degree of the yaw movement is larger than the first degree, the control apparatus increases a coupling torque of a coupling device corresponding to a rear wheel at the same side as a direction of the yaw movement to a predetermined first torque value, and maintains at zero a coupling torque of a coupling device corresponding to a rear wheel at an opposite side to the direction of the yaw movement.

A vehicular behavior control apparatus in which a control unit that controls a driving device and a braking device is configured to calculate a target yaw moment and a target deceleration of the vehicle for ensuring stable behavior of the vehicle during non-braking turning, to calculate a first vehicle longitudinal force applied to a turning inner wheel to achieve the target yaw moment and a second vehicle longitudinal force necessary to achieve the target deceleration, to control, when the first vehicle longitudinal force is equal to or less than the second vehicle longitudinal force, the driving device so as to generate a driving force equal to a value obtained by subtracting the second vehicle longitudinal force from a driver-requested driving force and adding the first vehicle longitudinal force, and to apply the first vehicle longitudinal force to the turning inner wheel.

A method for determining a safety-critical yawing motion of a vehicle includes comparing a specification signal representing an ascertained setpoint yaw rate of the vehicle for an anticipated trajectory of the vehicle to a measuring signal representing an instantaneous yaw rate of the vehicle measured based on an actual trajectory of the vehicle, thereby generating a comparison signal; checking whether an amplitude of the comparison signal exceeds a first threshold value and whether a frequency of the comparison signal exceeds a second threshold value; and, in response to the amplitude exceeding the first threshold and the frequency exceeding the second threshold, outputting a yawing-motion signal indicating presence of the safety-critical yawing motion of the vehicle.

A tire state estimation method is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs, including deploying a normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; deploying a lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and deploying a longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.

A tire state estimation method is provided for estimating normal force, lateral force and longitudinal forces based on CAN-bus accessible sensor inputs, including deploying a normal force estimator generating the normal force estimation from a summation of longitudinal load transfer, lateral load transfer and static normal force using as inputs lateral acceleration, longitudinal acceleration and roll angle derived from the input sensor data; deploying a lateral force estimator estimating lateral force using as inputs measured lateral acceleration, longitudinal acceleration and yaw rate; and deploying a longitudinal force estimator estimating the longitudinal force using as inputs wheel angular speed and drive/brake torque derived from the input sensor data.