When an engine is started by causing a first motor coupled to first drive wheels to motor the engine while a hybrid vehicle is turning with the engine stopped, an electronic control unit controls output torque of a second motor, in such a direction as to curb change of a steering characteristic of the hybrid vehicle due to change of drive torque of the first drive wheels induced by motoring of the engine by the first motor.

Examples include a network computer system and/or service which operates to remotely monitor vehicles to detect and characterize driving actions of drivers with respect to specific road segments of a roadway.

A control device for a land vehicle is described. The control device is set up to control at least one actuator of the land vehicle on the basis of an avoidance trajectory calculated by the control device in order to support a driver of the land vehicle during an evasive maneuver. The control device is also set up to receive sensor signals of at least one sensor; to generate an environmental model from the received sensor signals; to determine the position of an object relative to a current position of the land vehicle in the generated environmental model; and to calculate a preliminary avoidance trajectory. In the calculation of the preliminary avoidance trajectory, the current position of the land vehicle in the generated environmental model constitutes the starting point of the preliminary avoidance trajectory. A preliminary end point of the preliminary avoidance trajectory is determined on the basis of the determined position of the object. To determine the parameters of the preliminary avoidance trajectory, at least the coordinates of the starting point and of the preliminary end point are used.

Method for the estimation of at least a variable (β; ν.sub.x, ν.sub.y; ψ, μ) affecting a vehicle dynamics (10), including measuring dynamic variables (MQ) of the vehicle (10) during its motion, calculating in real time an estimate (Formula (I)) of said variable (β; ν.sub.x, ν.sub.y; ψ, μ), on the basis of said measured dynamic variables (MQ), The method includes: calculating (230) said estimate of said at least a variable (β; ν.sub.x, ν.sub.y; ψ, μ) by an estimation procedure (DVS.sub.β; DVS.sub.βν; DVS.sub.βνμ) comprising taking in account a set of dynamic variables (MQ) measured during the motion of the vehicle (10) over respective time intervals (n.sub.y, n.sub.w, n.sub.ψ, n.sub.x, n.sub.α) and applying on said set of measured dynamic variables (MQ) at least an optimal nonlinear regression function (ƒ*.sub.β; ƒ*.sub.x, ƒ*.sub.y; ƒ*.sub.β1, ƒ*.sub.β2, ƒ*.sub.ψ1, ƒ.sub.ψ2) calculated with respect to said variable (β; ν.sub.x, ν.sub.y; ψ, μ) to estimate to obtain said estimate of said variable (β; ν.sub.x, ν.sub.y; ψ, μ), said optimal non linear regression function (ƒ*.sub.β; ƒ*.sub.x, ƒ*.sub.y; ƒ*.sub.β1, ƒ*.sub.β2, ƒ*.sub.ψ1, ƒ*.sub.ψ2) being obtained by an optimal calculation procedure (220) including: on the basis of an acquired set of reference data (D.sub.d) and of said set of dynamic variables (MQ) measured during the motion of the vehicle (10), finding, for a desired accuracy level (ε), a regression function (ƒ*.sub.β; ƒ*.sub.x, ƒ*.sub.y; ƒ*.sub.β1, ƒ*.sub.β2, ƒ*.sub.ψ1, ƒ*.sub.ψ2) giving an estimation error lower or equal than said desired accuracy level (ε) in a given set of operative conditions (OC), said acquired set of reference data (D.sub.d) being obtained by acquiring (210) in said given set of operative conditions (OC) a set of reference data (D.sub.d) of variables including variables corresponding to said measured dynamic variables (MQ) of the vehicle (10) and a lateral (v.sub.y) and a longitudinal velocity (v.sub.x) of the vehicle (10).

An information providing device 1 of a motorcycle includes: an image acquisition section 10 that acquires an image of a road; a lane detection section 12 that detects a lane from the image and detects a radius of curvature of the detected lane and a lateral distance from the host vehicle to the lane; a host vehicle trajectory curvature calculation section 14 that calculates a radius of curvature of a host vehicle trajectory on the basis of the radius of curvature of the lane and the lateral distance; a vehicle speed acquisition section 16 that acquires a vehicle speed of the host vehicle; an inclination angle calculation section 18 that calculates an inclination angle of the host vehicle on the basis of the radius of curvature of the host vehicle trajectory and the vehicle speed.

An automatic speed control device includes: an upper limit lateral acceleration degree setting part for setting an upper limit lateral acceleration degree; a road curvature acquiring part for acquiring a value of a curvature parameter relating to curvature of a road; an upper limit speed setting part for calculating a speed of the vehicle at which if the vehicle runs on that road, the lateral acceleration degree of the vehicle becomes the upper limit lateral acceleration degree and setting the calculated speed as the upper limit speed; and a speed control part for controlling the speed of the vehicle to be less than or equal to the upper limit speed. The upper limit lateral acceleration degree when running on a connecting road is set lower than the upper limit lateral acceleration degree when running on a main road of a motorway.

A turning control system of a vehicle includes: a database storing road information; a sensor part to detect a steering angle of a vehicle, a wheel speed of the vehicle, whether the vehicle is accelerated, whether the vehicle is braking, and whether a speed gear of the vehicle is shifted; and a controller that determines whether the vehicle enters a turning section based on one or more pieces of the information detected by the sensor part and the road information stored in the database. In particular, when the vehicle is entering the turning section, the controller sets a target speed of the vehicle and controls a speed of the vehicle to be decelerated to the set target speed.

A method for stabilizing a vehicle (100) in which the vehicle (100) has a roll stabilizer (120), which is designed to stabilize a first axle (101) and a second axle (102) as a function of a roll torque distribution between the first axle (101) and the second axle (102). The method comprises a step of determining a sideslip angle index from a difference between a transverse acceleration calculated from a yaw rate of the vehicle (100) and a speed of the vehicle (100), and a detected transverse acceleration of the vehicle (100). The sideslip angle index is related to a sideslip angle of the vehicle (100). The method also comprises a step of generating a control signal (160) using the sideslip angle index. The control signal (160) is suitable for adjusting the roll torque distribution of the roll stabilizer (120) as a function of the determined sideslip angle index.

A method in which the position of the center of gravity of a moving motor vehicle is ascertained, wherein at least one set of related input variables is taken into consideration, and the set of input variables includes at least a longitudinal acceleration of the motor vehicle, a lateral acceleration of the motor vehicle, a yaw rate of the motor vehicle and at least one wheel rotational speed, in particular four wheel rotational speeds, wherein the set of input variables is ascertained during a steady-state driving maneuver, and a quantity of possible center of gravity positions is defined as classes and, by a learning-based classification method, on the basis of the set of input variables, a class is selected which indicates an estimated center of gravity position. A control unit for carrying out the method is also disclosed.

The present disclosure relates to a method for determining the fatigue of a driver of a motor vehicle, wherein the fatigue is determined while taking into account the steering behavior of the driver, characterized in that the method includes the following steps: determination of a hysteresis of the steering system or the fatigue detection system, and taking into account the detected hysteresis in the determination of the fatigue of the driver. Furthermore, the disclosure relates to a device that is set up to execute the method.