A roll sensor is configured to detect a first roll angle at a corresponding first point of a path plan of a vehicle, or its implement, based on the estimated current position. A roll sensor is configured to detect a second roll angle at a corresponding second point of a path plan of a vehicle, or its implement, based on the estimated current position. A data processor is configured to determine a roll angle delta or difference between the first roll angle and the second roll angle. If the roll angle delta is greater than a reference roll value, the roll angle delta is evaluated over an evaluation period. For example, if the roll angle is greater than the reference roll value for equal to or greater than a target percentage or target ratio for the evaluation period, the data processor is configured to designate the roll angle sensor for possible recalibration.

A vehicle controller for a vehicle including a drive source including an electric motor includes: a sense-of-beating producer configured to acquire a total required torque which is a required torque of the entire vehicle and configured to derive a total target torque corresponding to the total required torque as applied to a predetermined engine combustion cycle; and a target motor torque deriver configured to, based on the total target torque, derive a target motor torque for torque control of the electric motor. The vehicle controller controls the electric motor based on the target motor torque.

A vehicle controller for a vehicle including a drive source including an electric motor includes: a sense-of-beating producer configured to acquire a total required torque which is a required torque of the entire vehicle and configured to derive a total target torque corresponding to the total required torque as applied to a predetermined engine combustion cycle; and a target motor torque deriver configured to, based on the total target torque, derive a target motor torque for torque control of the electric motor. The vehicle controller controls the electric motor based on the target motor torque.

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.

A method, a device, a storage medium and a vehicle for vehicle rollover prevention warning, wherein the method for vehicle rollover prevention warning includes: collecting vehicle body rollover state parameters; calculating a lateral-load transfer rate of the vehicle according to the collected vehicle body rollover state parameters and a preset load transfer rate threshold model comprising the centrifugal force rollover moment of the sprung mass; and determining whether the vehicle has the risk of rollover or not according to the calculated lateral-load transfer rate and the preset rollover threshold. According to the technical solution provided by the invention, the load transfer rate threshold model based on the centrifugal force rollover moment of the sprung mass can simulate the actual rollover state of a vehicle more truly, with a more accurate state indication effect and a high warning accuracy.

A method, a device, a storage medium and a vehicle for vehicle rollover prevention warning, wherein the method for vehicle rollover prevention warning includes: collecting vehicle body rollover state parameters; calculating a lateral-load transfer rate of the vehicle according to the collected vehicle body rollover state parameters and a preset load transfer rate threshold model comprising the centrifugal force rollover moment of the sprung mass; and determining whether the vehicle has the risk of rollover or not according to the calculated lateral-load transfer rate and the preset rollover threshold. According to the technical solution provided by the invention, the load transfer rate threshold model based on the centrifugal force rollover moment of the sprung mass can simulate the actual rollover state of a vehicle more truly, with a more accurate state indication effect and a high warning accuracy.

A method is provided for predicting a risk for rollover of a working machine for load transportation. The method includes: obtaining ground topographic data of a geographical area located close to the working machine from a ground topographic detection system; extracting a ground gradient from the ground topographic data; obtaining weight information of the load being currently transported by means of an on-board load weighting system or by receiving load information originating from the device that loaded the load being currently transported; determining a current maximal allowed ground gradient for the working machine based on the weight information; and predicting a risk for working machine rollover if the working machine approaches a geographical area including a ground gradient exceeding or being close to the current maximal allowed ground gradient for the working machine.

A method is provided for predicting a risk for rollover of a working machine for load transportation. The method includes: obtaining ground topographic data of a geographical area located close to the working machine from a ground topographic detection system; extracting a ground gradient from the ground topographic data; obtaining weight information of the load being currently transported by means of an on-board load weighting system or by receiving load information originating from the device that loaded the load being currently transported; determining a current maximal allowed ground gradient for the working machine based on the weight information; and predicting a risk for working machine rollover if the working machine approaches a geographical area including a ground gradient exceeding or being close to the current maximal allowed ground gradient for the working machine.

A surface roughness estimator for a vehicle configured to generate a first surface roughness index value indicative of terrain surface roughness and to output a signal in dependence at least in part on the first surface roughness index value, the estimator being configured to receive first acceleration information indicative of a first acceleration along a first axis, receive second acceleration information indicative of a second acceleration along a second axis, calculate a combined value in dependence on the first acceleration and second acceleration, and adjust the combined value in dependence on a speed of the vehicle to generate the first surface roughness index value.