An apparatus and a method for controlling motion of a vehicle to improve turning motion performance are provided. The processor determines a riding position of a user, receives information about a steering angle of the vehicle, and outputs a vehicle control signal with regard to turning motion performance according to at least one of a phase difference between a yaw rate and lateral acceleration or a lateral slip angle with respect to the riding position, based on the received steering angle. A controller controls the vehicle in accordance with the vehicle control signal. The apparatus provides a passenger of the vehicle with optimal turning motion performance.

The present disclosure relates to a method and system for integrated path planning and path tracking control of an autonomous vehicle. The method includes: obtaining five input control variables and eleven system state variables of an autonomous vehicle at current time; constructing a vehicle path planning-tracking integrated state model according to the obtained variables at the current time; enveloping external contours of two autonomous vehicles using elliptical envelope curves to determine elliptical vehicle envelope curves of the two autonomous vehicles, respectively; determining time to collision (TTC) between the vehicles according to elliptical vehicle envelope curves and vehicle driving states; establishing an objective function of a model prediction controller (MPC) according to the model; and solving the objective function based on the TTC, and determining input control variables to the MPC at the next time. Autonomous vehicle collision avoidance can be achieved according to the present disclosure.

Method for updating at least one vehicle model parameter and at least one tire parameter in at least one chassis control unit of a vehicle, based on tire sensor information collected by a tire sensor placed on a tire. The method includes the steps of: collecting tire sensor information; updating the at least one vehicle model parameter based on updating at least one tire parameter, updating one tire parameter being based on the tire sensor information.

A manager is installed in a vehicle. The manager includes: an accepting unit that accepts, from a plurality of advanced driver assistance system applications, a plurality of kinematic plans including first information that is information representing lateral-direction motion of the vehicle; an arbitration unit that performs arbitration of the kinematic plans; a first output unit that distributes a motion request based on a result of arbitration performed by the arbitration unit to at least one of a plurality of actuator systems; and a second output unit that outputs second information used for generating the first information to at least one of the ADAS applications.

A vehicle control device includes: a target traveling path setting unit that sets a target traveling path of an own vehicle; a reference position setting unit that sets a reference position of the own vehicle for specifying a position of the own vehicle with respect to the target traveling path; and a control unit that controls a steering assist amount of a steering wheel, based on a positional deviation being a deviation between the target traveling path set by the target traveling path setting unit and the reference position of the own vehicle set by the reference position setting unit. The reference position setting unit changes the reference position according to a vehicle speed.

The disclosure relates to the process of ascertaining an input variable of a vehicle actuator using a model-based predictive control. According to one exemplary arrangement, a processor unit is designed to access trajectory information and a state data set, which represents a state of surroundings of a vehicle and/or the state of the vehicle and/or a driving state of the vehicle, by an interface. The processor unit carries out a secondary condition algorithm in order to calculate a secondary condition and an MPC algorithm for a model-based predictive control. By carrying out the secondary condition algorithm, a secondary condition is ascertained for the MPC algorithm on the basis of the trajectory information and on the basis of the state data set. By carrying out the MPC algorithm, an input variable is ascertained for an actuator of the vehicle on the basis of the secondary condition. This is carried out in particular such that in a future predicted trajectory, the vehicle follows the specified trajectory with a specified degree of reliability.

In a vehicle control device, a switching hyperplane generation unit generates a switching hyperplane based on a travel state of a vehicle and cornering stiffness dependent on a travel surface state as a state of a road surface on which the vehicle travels. A deviation computation unit calculates a deviation between a target trajectory and an actual trajectory of the vehicle. A state estimation unit estimates a state to be controlled of the vehicle based on the deviation calculated by the deviation computation unit. A target steering angle and acceleration/deceleration computation unit calculates a target steering angle and a target acceleration/deceleration rate of the vehicle based on the switching hyperplane generated by the switching hyperplane generation unit and an estimated state as the state estimated by the state estimation unit.

The technology employs a model structure for motion control in a vehicle configured to operate in an autonomous driving mode. The model structure has components including a vehicle dynamics system module, a column dynamics module, a rack dynamics module, and an actuation control module. A virtual validation and verification model is configurable based on the components of the model structure. Configuration is performed according to a set of operational requirements based on at least one of a vehicle type, occupant loading information, a center of gravity, or tire pressure as per a cold nominal setpoint. The virtual validation and verification model can be executed so that an electric power steering (EPS) module of the model structure components is configured for at least one of: a software-in-loop model, functional EPS assist, angle control, or to emulate an EPS controller.

Disclosed are an apparatus and method for controlling autonomous traveling of an independent driving electric vehicle. An apparatus for controlling autonomous traveling of an independent driving electric vehicle according to one aspect of the present disclosure includes a measurement unit configured to measure traveling information of a vehicle, a steering angle controller configured to calculate a steering angle for following a look ahead point based on path information of the vehicle and the traveling information, and control the vehicle according to the steering angle, and a torque vectoring controller configured to calculate a lateral error and an angular error of the vehicle based on the path information and the traveling information, generate a control moment based on the lateral error and the angular error, and control a motor torque of each motor based on the control moment.

The present disclosure relates to a method and system for integrated path planning and path tracking control of an autonomous vehicle. The method includes: obtaining five input control variables and eleven system state variables of an autonomous vehicle at current time; constructing a vehicle path planning-tracking integrated state model according to the obtained variables at the current time; enveloping external contours of two autonomous vehicles using elliptical envelope curves to determine elliptical vehicle envelope curves of the two autonomous vehicles, respectively; determining time to collision (TTC) between the vehicles according to elliptical vehicle envelope curves and vehicle driving states; establishing an objective function of a model prediction controller (MPC) according to the model; and solving the objective function based on the TTC, and determining input control variables to the MPC at the next time. Autonomous vehicle collision avoidance can be achieved according to the present disclosure.