Systems and methods are provided herein for operating an electric vehicle in a vehicle yaw mode. The electric vehicle includes a normal driving mode where the electric vehicle is steered by turning the steerable wheels (e.g., left or right) and vehicle yaw mode where the vehicle controls the torque applied to each wheel. In response to receiving input to initiate vehicle yaw mode and yaw direction, the system determines the inner wheels and the outer wheels and provides forward torque to the outer wheels of the vehicle and backward torque to the inner wheels of the vehicle to rotate the vehicle.

Systems and Methods for controlling an autonomous vehicle, may include: receiving sensor data, the sensor data comprising vehicle parameter information for the autonomous vehicle; using the sensor data to determine a vehicle state for the autonomous vehicle, wherein the vehicle state comprises information regarding a magnitude of an actual or predicted effective understeer gradient for the vehicle; computing a yaw moment required to correct the effective understeer gradient based on the magnitude of the effective understeer gradient; and determining a combination of one or more vehicle control inputs, including applying a brake torque, to correct the effective understeer gradient; applying the brake torque to a single wheel of the vehicle, wherein an amount of brake torque applied is sufficient to lock up the single wheel to create a yaw moment on the vehicle to achieve the computed yaw moment required to correct the effective understeer gradient.

A moving object that travels from a current position toward a target position includes a first section candidate searching unit configured to search for a plurality of first section candidates in which the moving object is capable of traveling from the current position, a second section candidate searching unit configured to, for each ending point of the first section candidates, search for a plurality of second section candidates in which the moving object is capable of traveling from the ending points of the first section candidates, an obstacle position recognition unit configured to detect a position of an obstacle around the moving object, and a route decision unit configured to decide a first section and a second section used as a traveling route of the moving object from the plurality of first section candidates and the plurality of second section candidates.

A control apparatus for a vehicle includes: a target yaw rate calculator; a primary limit yaw rate calculator; a yaw rate comparator; a secondary limit yaw rate calculator; and a vertical load controller. The target yaw rate calculator calculates a target yaw rate of the vehicle. The primary limit yaw rate calculator calculates a primary limit yaw rate on a basis of a vertical load on a wheel. The yaw rate comparator compares the target yaw rate with the primary limit yaw rate. The secondary limit yaw rate calculator calculates a secondary limit yaw rate in a case where a distribution of the vertical load on the wheel is changed in a case where the target yaw rate exceeds the primary limit yaw rate. The vertical load controller changes the vertical load on a basis of the secondary limit yaw rate.

A driver assistance system and method are disclosed. The driver assistance system includes a first sensor installed at a vehicle and configured to have a field of view directed forward from the vehicle to acquire front image data, a second sensor selected from a group of radar and LIDAR sensors, installed at the vehicle, and configured to have a field of view directed forward from the vehicle to acquire front detection data, and a controller having a processor configured to process the front image data and the front detection data, wherein the controller is configured to detect a lane, in which the vehicle is traveling, or detect a front object located in front of the vehicle, in response to the processing of the image data and the front detection data, output a braking signal to a braking system of the vehicle when a collision between the vehicle and the front object is expected, and output a steering signal to a steering system of the vehicle when a collision between the vehicle and the front object is expected even with braking control.

Disclosed are an apparatus and method for controlling articulation of an articulated vehicle. The apparatus includes a yaw rate calculator configured to calculate a desired yaw rate based on a steering angle and a speed of the articulated vehicle, a first moment generator configured to generate a yaw rate control moment based on the desired yaw rate and an actual yaw rate of the articulated vehicle, a second moment generator configured to generate a hitch damping control moment based on a hitch angular velocity of the articulated vehicle, an adder configured to output a final moment for controlling the articulation of the articulated vehicle by adding the yaw rate control moment and the hitch damping control moment, and an articulation controller configured to control the articulation of the articulated vehicle based on the final moment.

A system, comprising a computer including a processor and a memory storing instructions executable by the processor to determine a first lateral boundary for movement of a vehicle. The first lateral boundary is parallel to a longitudinal axis of the vehicle and is based on at least a size of the vehicle. Based on at least the size of the vehicle and a detected yaw rate of the vehicle, the instructions include to determine a wind condition at a location. The instructions include to update a distance of the first lateral boundary from the longitudinal axis to obtain an updated first lateral boundary, based on the wind condition.

A yaw stability control system is provided for a motor vehicle. The system includes one or more cameras, a plurality of wheel speed sensors, a yaw angle sensor, and a steering angle sensor. The system further includes an electric motor connected to a reaction wheel. The system further includes a processor and a memory including instructions such that the processor is programmed to: determine a desired yaw angle of the motor vehicle based on a video signal, speed signals, a yaw signal, and a steering signal. The processor is further programmed to generate an actuation signal associated with the desired yaw angle. The electric motor angularly rotates the reaction wheel at a predetermined angular rate in a predetermined rotational direction to produce a counter-acting torque that rotates the motor vehicle to the desired yaw angle, in response to the electric motor receiving the actuation signal from the processor.

The present invention provides a driving assist apparatus, a driving assist method, and a driving assist system capable of realizing driving assist in consideration of a delay in a driver's operation regardless of a configuration of a vehicle. A driving assist apparatus includes a standard running route acquisition portion configured to acquire a standard running route calculated based on curve information ahead of a vehicle that is acquired by an external world recognition portion, and an actuator control output portion configured to acquire a standard vehicle motion amount when the vehicle runs the standard running route, calculate an instruction that guides a motion amount of the vehicle toward the standard vehicle motion amount based on the standard vehicle motion amount and a current vehicle motion amount of the vehicle, and output the instruction to an actuator portion configured to provide at least one of a curving force and a braking force to the vehicle.

A controller and a method for controlling motion of a vehicle is provided. The method comprises acquiring motion information including a current state of the vehicle and a desired state of the vehicle, determining a combination of a steering angle of the wheels and motor forces for moving the vehicle from the current state into the desired state by using a first model of the motion of the vehicle and a second model of the motion of the chassis of the vehicle, determining a cost function of the motion of the vehicle, optimizing the cost function of the motion of the vehicle to compute a command signal for controlling the steering wheel and the plurality of electric motors, and controlling the steering angle of the wheels and the motor forces based on the command signal.