A slope estimation device estimates a slope of a vehicle traveling road, and includes an input section that acquires a detected value of an acceleration sensor for detecting acceleration in a front-back direction of the vehicle, a centripetal force detecting section that detects centripetal force acting on the acceleration sensor due to a turning motion of the vehicle, and a slope computing section that computes the slope of the vehicle traveling road based on the detected value of the acceleration sensor. When the vehicle is in the turning motion, the slope computing section computes the slope of the traveling road by determining a component of the centripetal force superimposed on the detected value of the acceleration sensor based on a turning center position of the vehicle, a gravity center position of the vehicle, and an installation position of acceleration sensor, and subtracting the component of the centripetal force from the detected value of the acceleration sensor.

Methods and systems implemented in a vehicle involve obtaining a single camera image from a camera arranged on the vehicle. The image indicates a heading angle ψ.sub.0 between a vehicle heading x and a tangent line that is tangential to road curvature of a road on which the vehicle is traveling and also indicates a perpendicular distance y.sub.0 from a center of the vehicle to the tangent line. An exemplary method includes obtaining two or more inputs from two or more vehicle sensors, and estimating kinematic states of the vehicle based on applying a Kalman filter to the single camera image and the two or more inputs to solve kinematic equations. The kinematic states include roll angle and pitch angle of the vehicle.

Methods and systems implemented in a vehicle involve obtaining a single camera image from a camera arranged on the vehicle. The image indicates a heading angle ψ.sub.0 between a vehicle heading x and a tangent line that is tangential to road curvature of a road on which the vehicle is traveling and also indicates a perpendicular distance y.sub.0 from a center of the vehicle to the tangent line. An exemplary method includes obtaining two or more inputs from two or more vehicle sensors, and estimating kinematic states of the vehicle based on applying a Kalman filter to the single camera image and the two or more inputs to solve kinematic equations. The kinematic states include roll angle and pitch angle of the vehicle.

In a vehicle, GV control and M+ control are executed by generating braking/driving forces from a brake hydraulic pressure control device and a drive device during steering. A controller estimates (calculates), by a posture estimation unit, a pitch amount and a roll amount (predicted pitch rate and predicted roll rate) that occur in the vehicle through use of a moment command of the M+ control and a longitudinal G command of the GV control. The controller adjusts damping forces of damping force variable dampers through use of the estimated pitch amount and the estimated roll amount (predicted pitch rate and predicted roll rate) so that a pitch amount calculated by a pitch control unit and a roll amount calculated by a roll suppression unit approach respective target values.

In a vehicle, GV control and M+ control are executed by generating braking/driving forces from a brake hydraulic pressure control device and a drive device during steering. A controller estimates (calculates), by a posture estimation unit, a pitch amount and a roll amount (predicted pitch rate and predicted roll rate) that occur in the vehicle through use of a moment command of the M+ control and a longitudinal G command of the GV control. The controller adjusts damping forces of damping force variable dampers through use of the estimated pitch amount and the estimated roll amount (predicted pitch rate and predicted roll rate) so that a pitch amount calculated by a pitch control unit and a roll amount calculated by a roll suppression unit approach respective target values.

A monitoring area setting apparatus is mountable to an own vehicle and sets a monitoring area that indicates an area for monitoring objects in a vicinity of the own vehicle. The monitoring area setting apparatus acquires (i) at least either of a vehicle-width movement amount that indicates an amount of movement in a vehicle-width direction of the own vehicle and an inclination amount that indicates a degree of inclination of the own vehicle relative to an extending direction of a road on which the own vehicle is traveling, and (ii) information that the own vehicle has changed traffic lanes. The monitoring area setting apparatus sets the monitoring area taking into consideration at least either of the vehicle-width movement amount and the inclination amount in response to the own vehicle changing traffic lanes.

A method for controlling the actuation of an actuatable restraint to help protect a vehicle occupant in response to a rollover event is implemented in a controller of a vehicle safety system that includes the actuatable restraint. To implement the method, the controller is configured to execute a roll discrimination metric that discriminates the occurrence of a ramp rollover event or an embankment rollover event in response to a vehicle roll rate (R_RATE) having a magnitude that exceeds a predetermined threshold roll rate (R_RATE). The controller is also configured to execute a switching metric that is operative to reduce the predetermined threshold roll rate (R_RATE) in response to a vehicle pitch rate (P_RATE) having a magnitude that exceeds a predetermined threshold pitch rate (P_RATE).

A vehicle performance evaluation method, device and terminal are provided. The method includes: acquiring a labeled ADE score of an ADE item within a time period in which the ADE item occurs, and recording labeled data of an ADE index for indicating a vehicle state; acquiring a correlation between the ADE item and the vehicle state, according to the labeled ADE score and the labeled data of the ADE index; acquiring data of a target ADE index within a preset time period, and acquiring a target ADE score according to the data of the target ADE index and a correlation between the ADE item and the vehicle state; and acquiring a vehicle performance evaluation result according to the target ADE score. The passenger participation is not necessary, costs can be reduced and a vehicle evaluation efficiency can be improved.

A vehicle performance evaluation method, device and terminal are provided. The method includes: acquiring a labeled ADE score of an ADE item within a time period in which the ADE item occurs, and recording labeled data of an ADE index for indicating a vehicle state; acquiring a correlation between the ADE item and the vehicle state, according to the labeled ADE score and the labeled data of the ADE index; acquiring data of a target ADE index within a preset time period, and acquiring a target ADE score according to the data of the target ADE index and a correlation between the ADE item and the vehicle state; and acquiring a vehicle performance evaluation result according to the target ADE score. The passenger participation is not necessary, costs can be reduced and a vehicle evaluation efficiency can be improved.

A behavior control device for a vehicle includes: a first actuator configured to apply a vertical control force to a left wheel on a first axle, the first axle being a front axle or a rear axle of the vehicle; a second actuator configured to operate independently of the first actuator and to apply a vertical control force to a right wheel on the first axle; and a controller. The controller is configured to calculate a required value of a behavior parameter representing a behavior of the vehicle, convert the required value of the behavior parameter to a first required force for the first actuator and a second required force for the second actuator, and control the first actuator such that the vertical control force applied to the left wheel on the first axle becomes the first required force.