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.

An optimal lane keeping assistance device of an articulated vehicle (100), in which a tractor (200) and a trailer (300) are connected via a fifth wheel coupling (400), includes a first sensor (520,540) which detects a tractor state variable, a second sensor (560) which detects a fifth wheel coupling (400) state variable, and an electric control unit (500) incorporating a microcomputer. The electric control unit (500) calculates a control variable (Uc) according to a target lateral displacement value (Yd), an output signal of the first sensor (520, 540), and an output signal of the second sensor (560), taking into account a feedback gain of an optimal control rule, to calculate a target steering angle (δf) of the tractor (200) according to the calculated control variable (Uc) and the output signal of the first sensor (520,540), and to assist steering of the tractor (200) based on the calculated target steering angle (δf).

A vehicle and a control method thereof may increase a shooting angle of a camera mounted on the vehicle to photograph without limitation of the shooting angle. The method of controlling a vehicle including at least one camera, the control method including: adjusting a direction of a vehicle body to adjust a shooting direction of the at least one camera to a target direction thereof; and controlling the at least one camera to photograph in the adjusted shooting direction.

The prevent disclosure relates to a lane keeping control apparatus and a method thereof. An exemplary embodiment provides a lane keeping control apparatus including a processor configured to calculate a steering angle control amount for following a target path for lane keeping control while driving a vehicle, and to adjust the steering angle control amount depending on a change directionality of a target path error that is an error between the target path and the vehicle, and a storage configured to store data and algorithms driven by the processor.

A parallel computing method for man-machine coordinated steering control of a smart vehicle based on risk assessment is provided, comprising the following steps: building a lateral kinetic equation model of a vehicle; building a target function by targeting at minimizing an offset distance of a vehicle driving track from a lane center line and making a change in a front wheel steering angle and a longitudinal acceleration as small as possible in a driving process; building a parallel computing architecture of a prediction model and the target function, and employing a triggering parallel computing method; solving and computing a gradient with a manner of back propagation and using a gradient descent method to obtain an optimal control amount of the front wheel steering angle and an optimal control amount of the longitudinal acceleration; and computing a driving weight, obtaining a desired front wheel steering angle and completing real time control.

A method for perception fields driving related operations, the method may include (i) obtaining object information regarding one or more objects located within an environment of a vehicle; (ii) determining, using one or more neural network (NNs), one or more virtual forces that are applied on the vehicle, wherein the one or more virtual forces represent one or more impacts of the one or more objects on a behavior of the vehicle; wherein the one or more virtual forces belong to a virtual physical model; and (iii) performing one or more driving related operations of the vehicle based on the one or more virtual forces.

A method to control, while driving along a curve, a road vehicle with a variable stiffness and with rear steering wheels. The method comprises the steps of: determining an actual attitude angle of the road vehicle; establishing a desired attitude angle; determining an actual yaw rate of the road vehicle; establishing a desired yaw rate; and changing, in a simultaneous and coordinated manner, the steering angle of the rear wheels and the distribution of the stiffness of the connection of the four wheels to the frame depending on a difference between the actual attitude angle and the desired attitude angle and depending on a difference between the actual yaw rate and the desired yaw rate.

Methods and systems for operating axles of a vehicle are provided. In one example, a propulsion source of a first axle is operated in a torque control mode at a first torque and a propulsion source of a second axle is operated in a torque control mode at a second torque. Torque of the propulsion sources may be adjusted as a function of steering angle.

A movable carrier auxiliary system includes an environmental detecting device, a control device, a state detecting device, and a parking auxiliary device. The environmental detecting device includes an image capturing module and an operation module. A parking auxiliary method thereof includes capture an environmental image around a movable carrier with the image capturing module; analyze whether the environmental image has a parking space with the operation module; detect a movement state of the movable carrier with the state detecting device; generate a prompting message with the parking auxiliary device based on an analysis result of the operation module and the movement state of the movable carrier, thereby the driver could manipulate the control device based on the prompting message to move the movable carrier to the parking space, improving a convenience and a safety when parking the movable carrier.

A method for generating a lateral offset trajectory for an at least partially automated mobile platform. The method includes: providing a target lateral offset; inverting a provided dynamic model of the mobile platform; providing at least one limit of a system variable of the dynamic model for determining the lateral offset trajectory; determining a time sequence of lateral offset trajectory points for the inverted dynamic model with a state variable filter, based on the limit(s) of the system variable, and the target lateral offset as an input signal; and determining a time sequence of values of at least one manipulated variable for the mobile platform, using the inverted dynamic model and the time sequence of the lateral offset trajectory points as an input signal for the inverted dynamic model, to generate the lateral offset trajectory.