A vehicle control apparatus and method are disclosed. A vehicle control apparatus for autonomous driving includes a receiver configured to receive a local path based on a trajectory planner, and a controller configured to generate a steering command for lateral control of the vehicle based on the local path, generate a compensated steering command by compensating the steering command based on a movement state of a vehicle to be controlled, and control the vehicle based on the compensated steering command.

A tire failure detection device includes a steering angle sensor for sensing a steering angle, a yaw rate sensor for sensing a yaw rate, and a control unit. The control unit calculates side-slip energy based on the output signal of the steering angle sensor and the output signal of the yaw rate sensor, and determines that a failure has occurred in a tire when the side-slip energy exceeds a first threshold.

An airbag firing control system may include an inertial measurement unit (IMU) including a low gravity (G) sensor configured to detect a longitudinal acceleration (ax), a filter configured to convert a first signal detection range of the low G sensor into a second signal detection range and to filter converted output of the low G sensor to generate a first output signal, and an adjuster configured to perform zero-point adjustment on the first output signal transmitted through the filter, and a microcomputer configured to use the first output signal for firing safing when the first output signal satisfies a safing condition as a performing result of the adjuster.

A propulsion control system provides different levels of jerk as a function of operator inputs and actual measured operational parameters in a machine. The system includes a power source, a continuously variable transmission (CVT) coupled to an output of the power source, a plurality of input/output devices, a plurality of sensors configured to generate signals indicative of operational parameters of the machine, and a controller communicatively coupled with the power source, the CVT, the input/output devices, and the sensors. The controller includes a database stored in a memory with a plurality of jerk values mapped to different operations of the machine selected from at least one of activation of a brake by an operator for an aggressive stop, a directional shift request from an operator to select one of forward, reverse, or neutral, and a set of operating conditions of the machine indicative of a blade load shedding mode. A jerk selection module is programmed to select at least one of a jerk value, an acceleration limit value, and a deceleration limit value based on a current operation of the machine. A speed command generating device is programmed to integrate a selected jerk value twice to generate a desired speed command. A proportional-integral-derivative (PID) control device is configured to continuously calculate a control error between the desired speed command and an actual speed of the machine. An output command control module is configured to output a control command for implementing a change in an output torque to at least one of the power source and the CVT to reduce the control error.

Systems and methods for operating a hybrid powertrain that includes an engine and a motor/generator are described. The systems and methods align in time an estimated motor torque and an actual motor torque to provide an estimated driveline torque. The alignment compensates for communications delays between different controllers over a controller area network.

A control method for a motor-driven vehicle is provided. The method includes calculating a correction torque of a drive motor through a difference between speeds of wheels or a variance rate of the difference between speeds of the wheels and comparing a calculated correction torque with a current required torque of the drive motor. When the calculated correction torque is greater than the current required torque, the drive motor is operated based on the current required torque. When the calculated correction torque is less than or equal to the current required torque, the drive motor is operated based on the calculated correction torque, or the required torque of the drive motor is corrected to correspond to the calculated correction torque and the drive motor is operated based on a corrected required torque of the drive motor.

A traction control method for a vehicle, in which a driving motor and a torque vectoring motor are controlled based on motor traction control torque, includes determining, by a disturbance observer based on a vehicle model, observer torque based on the slipping wheel actual speed and a torque vectoring motor torque, which are feedback information obtained from a vehicle in which the driving motor and the torque vectoring motor are controlled, and determining torque vectoring motor traction control torque based on the determined observer torque and a speed control torque determined based on a torque-vectoring-motor-based wheel speed error among motor-based wheel speed errors.

A method for adjusting driveline torque output of a vehicle is described. In one example, driveline output torque of a vehicle is decreased via switching from a first curve of a transfer function to a second curve of the transfer function, and then adjusting driveline output responsive to the second curve of the transfer function.

A method to determine a roll angle (.sub.E) of a vehicle, wherein the roll angle (.sub.E) is calculated as a combination of at least a first roll angle variable (.sub.1) and a second roll angle variable (.sub.2), wherein the first roll angle variable (.sub.1) is determined from an acquired rolling rate ({dot over ()}.sub.m) of the vehicle using a first method, wherein the second roll angle variable (.sub.2) is determined from one or more further vehicle movement dynamics characteristic variables using a second method.

Embodiments of the present disclosure a privacy-preserving defensive driving system that can detect abnormal following vehicles during driving. An example system may be configured to: continuously capture video data of the camera's field-of-view, detect following vehicles in the captured video data, and determine whether one or more following vehicles is exhibiting abnormal following behavior with respect to a first vehicle.