An obstacle warning method includes the steps of: acquiring scenario images at a current sampling time and a previous sampling time, and a map about first relative distances between respective viewing points in a viewing field and a vehicle; acquiring a profile and marking information of an obstacle and a map about a second relative distance between the obstacle and the vehicle in accordance with the map about the first relative distances; calculating a map about a third relative distance between the obstacle and the vehicle at a previous sampling time in accordance with the map about the first relative distances at the previous sampling time, the profile and the marking information of the obstacle at the current sampling time and a motion vector of the obstacle from the current sampling time to the previous sampling time.

A steering control method includes: detecting a steering angle of a steering wheel; calculating first steering reaction force which becomes greater when the detected steering angle is greater; calculating a delayed steering angle by delaying a phase of the detected steering angle; calculating second steering reaction force which becomes greater when an absolute value of a deviation angle being a deviation between the detected steering angle and the calculated delayed steering angle is greater; and applying steering reaction force based on a sum of the first steering reaction force and the second steering reaction force to the steering wheel.

In an exercise support device of the present invention, acceleration signals in three axis directions including vertical, longitudinal, and lateral directions corresponding to the motion of a user performing exercise of cyclically moving feet are obtained, and a first maximum value in one cycle of a foot movement in the vertical acceleration signal is obtained. Subsequently, a search is made for first and second change points related to foot landing and takeoff motions in a composite acceleration signal obtained by combining acceleration signals in at least two axis directions, in forward and backward directions of the time point of a second maximum value of the composite acceleration signal, within the cycle. Then, a time period between the first and second change points is obtained as a change point interval, and a foot landing period while exercising is calculated based on the first maximum value and the change point interval.

In an exercise support device of the present invention, acceleration signals in three axis directions including vertical, longitudinal, and lateral directions corresponding to the motion of a user performing exercise of cyclically moving feet are obtained, and a first maximum value in one cycle of a foot movement in the vertical acceleration signal is obtained. Subsequently, a search is made for first and second change points related to foot landing and takeoff motions in a composite acceleration signal obtained by combining acceleration signals in at least two axis directions, in forward and backward directions of the time point of a second maximum value of the composite acceleration signal, within the cycle. Then, a time period between the first and second change points is obtained as a change point interval, and a foot landing period while exercising is calculated based on the first maximum value and the change point interval.

A method of calculating a motor velocity in an electric power steering system comprises receiving a plurality of motor position signals from a motor position sensor of the electronic power steering system, calculating a plurality of angle difference based on the motor position signals prior to performing any filtering operations on the motor position signals, performing a linear regression analysis on the angle differences to predict an angle difference, and calculating a motor velocity based on the predicted angle difference.

A method of calculating a motor velocity in an electric power steering system comprises receiving a plurality of motor position signals from a motor position sensor of the electronic power steering system, calculating a plurality of angle difference based on the motor position signals prior to performing any filtering operations on the motor position signals, performing a linear regression analysis on the angle differences to predict an angle difference, and calculating a motor velocity based on the predicted angle difference.

In an exercise support device of the present invention, acceleration signals in three axis directions including vertical, longitudinal, and lateral directions corresponding to the motion of a user performing exercise of cyclically moving feet are obtained, and a first maximum value in one cycle of a foot movement in the vertical acceleration signal is obtained. Subsequently, a search is made for first and second change points related to foot landing and takeoff motions in a composite acceleration signal obtained by combining acceleration signals in at least two axis directions, in forward and backward directions of the time point of a second maximum value of the composite acceleration signal, within the cycle. Then, a time period between the first and second change points is obtained as a change point interval, and a foot landing period while exercising is calculated based on the first maximum value and the change point interval.

In an exercise support device of the present invention, acceleration signals in three axis directions including vertical, longitudinal, and lateral directions corresponding to the motion of a user performing exercise of cyclically moving feet are obtained, and a first maximum value in one cycle of a foot movement in the vertical acceleration signal is obtained. Subsequently, a search is made for first and second change points related to foot landing and takeoff motions in a composite acceleration signal obtained by combining acceleration signals in at least two axis directions, in forward and backward directions of the time point of a second maximum value of the composite acceleration signal, within the cycle. Then, a time period between the first and second change points is obtained as a change point interval, and a foot landing period while exercising is calculated based on the first maximum value and the change point interval.

A state calculation apparatus includes an receiver that receives azimuths of objects around a vehicle and their relative velocities to the vehicle, detected by a first sensor used for the vehicle, as target information, and a velocity and a travel direction of the vehicle, detected by a second sensor installed on the vehicle and having an error variance, as state information, and a controller that calculates velocities and travel directions of the vehicle, using the state information and based on a plurality of the azimuths and a plurality of the relative velocities extracted from the target information and that outputs at least either a velocity or a travel direction of the vehicle by using a specified filter to filter mean values of and error variances in the calculated velocities and travel directions and at least either the velocity or the travel direction detected by the second sensor.

A state calculation apparatus includes an receiver that receives azimuths of objects around a vehicle and their relative velocities to the vehicle, detected by a first sensor used for the vehicle, as target information, and a velocity and a travel direction of the vehicle, detected by a second sensor installed on the vehicle and having an error variance, as state information, and a controller that calculates velocities and travel directions of the vehicle, using the state information and based on a plurality of the azimuths and a plurality of the relative velocities extracted from the target information and that outputs at least either a velocity or a travel direction of the vehicle by using a specified filter to filter mean values of and error variances in the calculated velocities and travel directions and at least either the velocity or the travel direction detected by the second sensor.