A vehicle is capable of compensating for steering control based on vehicle's intrinsic factors and environmental influence factors, thereby performing steering compensation control accurately. The vehicle includes: a storage unit; a driving unit to drive a steering device; a sensor to acquire detection signals including a steering angle and a steering torque; and a controller to determine whether the vehicle is in a predetermined stable running state based on the detection signals, wherein, when the vehicle is in the predetermined stable running state, the controller extracts reference information including a relationship between the steering angle and the steering torque at one or more past time points, stores the reference information in the storage unit, and controls the driving unit based on a difference between the reference information and the steering angle and the steering torque.

A vehicle is capable of compensating for steering control based on vehicle's intrinsic factors and environmental influence factors, thereby performing steering compensation control accurately. The vehicle includes: a storage unit; a driving unit to drive a steering device; a sensor to acquire detection signals including a steering angle and a steering torque; and a controller to determine whether the vehicle is in a predetermined stable running state based on the detection signals, wherein, when the vehicle is in the predetermined stable running state, the controller extracts reference information including a relationship between the steering angle and the steering torque at one or more past time points, stores the reference information in the storage unit, and controls the driving unit based on a difference between the reference information and the steering angle and the steering torque.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

A driving support ECU initializes a target trajectory calculation parameter at a start of LCA; calculates, based on the target trajectory calculation parameter, a target trajectory function representing a target lateral position which is a target position of an own vehicle in a lane width direction in accordance with an elapsed time from the start of LCA; calculates a target control amount based on the target trajectory function; when a steering operation by a driver has been detected, again initializes the target trajectory calculation parameter; and recalculates the target trajectory function based on the target trajectory calculation parameter.

A system, comprising a computer including a processor and a memory storing instructions executable by the processor to determine a first lateral boundary for movement of a vehicle. The first lateral boundary is parallel to a longitudinal axis of the vehicle and is based on at least a size of the vehicle. Based on at least the size of the vehicle and a detected yaw rate of the vehicle, the instructions include to determine a wind condition at a location. The instructions include to update a distance of the first lateral boundary from the longitudinal axis to obtain an updated first lateral boundary, based on the wind condition.

A method and system for compensating for vehicle disturbances during vehicle operation, including: an algorithm for obtaining predicted driving condition data from a database, wherein the database includes one or more of geospatial data and remote vehicle data; an algorithm for obtaining real-time vehicle state data from equipment communicatively connected to a vehicle; an algorithm for combining the predicted driving condition data and the real-time vehicle state data to formulate a desired steering torque request necessary to compensate for predicted and actual driving conditions experienced by the vehicle; and an algorithm for providing the desired steering torque request to a power steering assist system of the vehicle to compensate for the predicted and actual driving conditions experienced by the vehicle.

A method for monitoring vehicle inertia parameters in real-time includes receiving at least one lateral dynamic value. The method also includes calculating at least one vehicle inertia parameter value using the at least one lateral dynamic value. The method also include determining a difference between the calculated at least one vehicle inertia parameter value and a corresponding baseline vehicle inertia parameter value. The method also includes, based on a comparison between the difference between the calculated at least one vehicle inertia parameter value and the corresponding baseline vehicle inertia parameter value and a threshold, selectively controlling at least one vehicle operation based on the calculated at least one vehicle inertia parameter value.

A method for monitoring vehicle inertia parameters in real-time includes receiving at least one lateral dynamic value. The method also includes calculating at least one vehicle inertia parameter value using the at least one lateral dynamic value. The method also include determining a difference between the calculated at least one vehicle inertia parameter value and a corresponding baseline vehicle inertia parameter value. The method also includes, based on a comparison between the difference between the calculated at least one vehicle inertia parameter value and the corresponding baseline vehicle inertia parameter value and a threshold, selectively controlling at least one vehicle operation based on the calculated at least one vehicle inertia parameter value.

A present steering position of a manually actuatable steering unit of the motor vehicle is determined based on sensor data. A steering command is generated based on the present steering position of the steering unit. Then, based on sensor-detected present vehicle dynamics data, it is determined whether the motor vehicle is in a straight-ahead running situation during driving operation. It is determined whether, during the straight-ahead running situation of the motor vehicle, the present steering position of the steering unit deviates from a straight-ahead running position of the steering unit for at least one of a specified time period and a specified traveling distance of the motor vehicle. A compensation steering command is generated based on the determined deviation of the present steering position of the steering unit from the straight-ahead running position. A corrected steering command is generated based on combining the compensation steering command with the steering command.

A railborne driver assistance device for supporting or automating the lateral control of a vehicle includes a first processing unit configured to control a steering torque intervention by establishing a steering angle with a stationary control accuracy of an electrically supported steering system. A second processing unit is configured to adjust the stationary control accuracy of the steering angle via the output of an accuracy request signal to the first processing unit in such a way that there is a scaling of the control accuracy between a lower and an upper threshold value. The second processing unit includes a control unit having an integrator with an input and an output, wherein the output of the integrator is connected to the input in a closed-loop manner with a weighting dependent on the accuracy request signal.