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.

The present disclosure provides an electronic stability control method for a vehicle for performing vehicular electronic stability control simply by adjusting driving force and braking power that are generated by a driving device of the vehicle without use of a driving force distributing method between front, rear, left, or right vehicle wheels. To this end, the vehicular electronic stability control method includes determining a vehicular state value indicating a driving state of a vehicle from information collected from the vehicle, comparing the determined vehicle state value with a first reference value, and controlling an operation of a driving device for generating driving force for driving the vehicle by the controller when the vehicle state value is greater than the first reference value to adjust driving force for preventing understeer or oversteer of the vehicle.

The present disclosure provides an electronic stability control method for a vehicle for performing vehicular electronic stability control simply by adjusting driving force and braking power that are generated by a driving device of the vehicle without use of a driving force distributing method between front, rear, left, or right vehicle wheels. To this end, the vehicular electronic stability control method includes determining a vehicular state value indicating a driving state of a vehicle from information collected from the vehicle, comparing the determined vehicle state value with a first reference value, and controlling an operation of a driving device for generating driving force for driving the vehicle by the controller when the vehicle state value is greater than the first reference value to adjust driving force for preventing understeer or oversteer of the vehicle.

A vehicle includes a navigation device, a sensor device, and a control device configured to identify an entry of the vehicle into a predetermined section of a road through the navigation device. In particular, the control device may identify at least one of a curvature of the road, a speed of the vehicle, or an acceleration of the vehicle through the sensor device in response to the entry of the vehicle into the predetermined section, and perform a lateral control of the vehicle based on at least one of the curvature of the road, the speed of the vehicle, or the acceleration of the vehicle.

A driving assistance device includes a storage medium that stores computer-readable instructions, and a processor connected to the storage medium. The processor executes the computer-readable instructions to recognize an object around a moving body, perform first control for avoiding contact between the moving body and the recognized object by steering, perform second control for avoiding contact between the moving body and the recognized object by braking, derive an estimated value of a yaw rate generated in the moving body on the basis of reference information including at least a plurality of types of information different from a measured value of a yaw rate output by a yaw rate sensor mounted on the moving body, and suppress the first control if a deviation between the measured value and the estimated value is greater than a reference.

Provided are a shift position sensor detecting a shift position of a vehicle; a yaw rate sensor detecting a yaw rate of the vehicle; a turning angle calculation unit calculating, based on the yaw rate between a start time and an end time of a first time, a turning angle of the vehicle in a plan view between the start time and the end time; and a determination unit determining that the vehicle executes a specific retreat operation when the determination unit determines, based on a detection value of the shift position sensor, that the shift position is switched to an advance position, a reverse position, and the advance position within the first time, and a maximum cumulative value of the turning angle of the vehicle in one direction between the start time and the end time, calculated by the turning angle calculation unit, is a threshold value or more.

Provided are a shift position sensor detecting a shift position of a vehicle; a yaw rate sensor detecting a yaw rate of the vehicle; a turning angle calculation unit calculating, based on the yaw rate between a start time and an end time of a first time, a turning angle of the vehicle in a plan view between the start time and the end time; and a determination unit determining that the vehicle executes a specific retreat operation when the determination unit determines, based on a detection value of the shift position sensor, that the shift position is switched to an advance position, a reverse position, and the advance position within the first time, and a maximum cumulative value of the turning angle of the vehicle in one direction between the start time and the end time, calculated by the turning angle calculation unit, is a threshold value or more.

A method to control a road vehicle driven by a driver and provided with at least a first drive wheel and a second driver wheel belonging to a same axle, each drive wheel being independently operated by a respective first and second electric motor; the control method comprises the step of controlling the torque delivered by each respective motor to the first drive wheel or to the second drive wheel as a function of a torque requested by the driver and independently of the difference in angular speed between the first and the second wheel.