An anticipating module for a device for controlling, in real time, the path of a motor vehicle includes a sub-module for computing a turning command for compensating for the curvature of a bend in the lane of the vehicle and a variable-gain device that is connected to an output of the computing sub-module. The gain of the variable-gain device is connected to a controller to adjust the gain so as to decrease the lateral offset between the centre of gravity of the vehicle and the centre of the lane of the vehicle depending on the result of the comparison of components of a vector of current measurements of state variables of the device to one another and to a detection threshold, the output of the variable-gain device being the steering command for compensating for the curvature of the bend.

A vehicle stability control method and a vehicle stability control device are provided. The method may be applied to an intelligent automobile field such as intelligent driving or autonomous driving, and is used to control lateral stability of a front axis and rear axis distributed driven vehicle. In this method, a yawing movement of the vehicle is considered, and an additional yawing moment for maintaining lateral stability of the vehicle is provided by compensating for front-axis and rear-axis slip ratios, to control lateral stability of the vehicle and therefore improve stability of the vehicle during driving.

A vehicle stability control method and a vehicle stability control device are provided. The method may be applied to an intelligent automobile field such as intelligent driving or autonomous driving, and is used to control lateral stability of a front axis and rear axis distributed driven vehicle. In this method, a yawing movement of the vehicle is considered, and an additional yawing moment for maintaining lateral stability of the vehicle is provided by compensating for front-axis and rear-axis slip ratios, to control lateral stability of the vehicle and therefore improve stability of the vehicle during driving.

A driving assistance apparatus includes a processor having hardware. The processor is configured to acquire vehicle speed data before an ABS of a vehicle is activated and vehicle speed data when the ABS of the vehicle is stopped, calculate a coefficient of sliding friction based on the vehicle speed data before the ABS is activated and the vehicle speed data when the ABS is stopped, determine whether the coefficient of sliding friction is equal to or smaller than a threshold, and detect that a slip due to road freezing has occurred when the coefficient of sliding friction is equal to or smaller than the threshold.

A driving assistance apparatus includes a processor having hardware. The processor is configured to acquire vehicle speed data before an ABS of a vehicle is activated and vehicle speed data when the ABS of the vehicle is stopped, calculate a coefficient of sliding friction based on the vehicle speed data before the ABS is activated and the vehicle speed data when the ABS is stopped, determine whether the coefficient of sliding friction is equal to or smaller than a threshold, and detect that a slip due to road freezing has occurred when the coefficient of sliding friction is equal to or smaller than the threshold.

A control method of a vehicle includes determining a look-ahead time, calculating a predicted passage position by using specific vehicle information having at least a position of a wheel at the current time point, velocity of the vehicle, and the proceeding direction of the vehicle, acquiring a road surface displacement-associated value at the predicted passage position, calculating a final target control force based on the road surface displacement-associated value at the predicted passage position, and controlling a control force generator based on the final target control force.

A control method of a vehicle includes determining a look-ahead time, calculating a predicted passage position by using specific vehicle information having at least a position of a wheel at the current time point, velocity of the vehicle, and the proceeding direction of the vehicle, acquiring a road surface displacement-associated value at the predicted passage position, calculating a final target control force based on the road surface displacement-associated value at the predicted passage position, and controlling a control force generator based on the final target control force.

Systems and methods for controlling a vehicle are provided. The systems and methods include a sensor system and a processor configured to execute program instructions, to cause the at least one processor to: receive yaw rate values, lateral acceleration values and longitudinal velocity values for the vehicle from the sensor system, determine side slip angle parameter values based on the yaw rate values, lateral acceleration values and longitudinal velocity values, determine phase portrait angles based on the side slip angle parameter values and the yaw rate values, wherein the phase portrait angles each represent an angle between yaw rate and side slip angle for the vehicle in a phase portrait of yaw rate and side slip angle, detect or predict vehicle instability based at least on the phase portrait angles, and when vehicle instability is detected or predicted, control motion of the vehicle to at least partly correct the vehicle instability.

Systems and methods for controlling a vehicle are provided. The systems and methods include a sensor system and a processor configured to execute program instructions, to cause the at least one processor to: receive yaw rate values, lateral acceleration values and longitudinal velocity values for the vehicle from the sensor system, determine side slip angle parameter values based on the yaw rate values, lateral acceleration values and longitudinal velocity values, determine phase portrait angles based on the side slip angle parameter values and the yaw rate values, wherein the phase portrait angles each represent an angle between yaw rate and side slip angle for the vehicle in a phase portrait of yaw rate and side slip angle, detect or predict vehicle instability based at least on the phase portrait angles, and when vehicle instability is detected or predicted, control motion of the vehicle to at least partly correct the vehicle instability.

Disclosed herein are an apparatus and method for compensating for a heading angle. The apparatus for compensating for a heading angle includes a compensation condition determination unit configured to determine whether a predetermined compensation condition is satisfied, to compensate for a heading angle of a camera, and a heading angle processing unit configured to compensate for the heading angle of the camera using a lane distance input from the camera, when it is determined by the compensation condition determination unit that the compensation condition is satisfied.