An angular speed acquisition device acquires the angular speed about a road surface perpendicular axis of a leaning vehicle. The leaning vehicle includes a vehicle body frame capable of leaning in a vehicle left-right direction and a steering shaft which steers at least one of a front wheel unit and a rear wheel unit. An angular speed acquisition device, which is mountable on the leaning vehicle, includes a memory and a processor. The memory stores the relationship between the steering angle, which is a rotation angle about the rotational axis of the steering shaft, the vehicle speed of the leaning vehicle, and the angular speed ω about the road surface perpendicular axis.

A vehicle including a Global Positioning System (GPS) sensor, an Inertial Measurement Unit (IMU), and an Advanced Driver Assistance System (ADAS) is described. Operating the vehicle includes determining, via the GPS sensor, first parameters associated with a velocity, a position, and a course, and determining, via the IMU, second parameters associated with acceleration and angular velocity. Roll and pitch parameters are determined based upon the first and second parameters. A first vehicle velocity vector is determined based upon the roll and pitch parameters, the first parameters, and the second parameters; and a second vehicle velocity vector is determined based upon the roll and pitch parameters, road surface friction coefficient, angular velocity, road wheel angles and the first vehicle velocity vector. A final vehicle velocity vector is determined based upon fusion of the first and second vehicle velocity vectors. The vehicle is controlled based upon the final vehicle velocity vector.

A vehicle including a Global Positioning System (GPS) sensor, an Inertial Measurement Unit (IMU), and an Advanced Driver Assistance System (ADAS) is described. Operating the vehicle includes determining, via the GPS sensor, first parameters associated with a velocity, a position, and a course, and determining, via the IMU, second parameters associated with acceleration and angular velocity. Roll and pitch parameters are determined based upon the first and second parameters. A first vehicle velocity vector is determined based upon the roll and pitch parameters, the first parameters, and the second parameters; and a second vehicle velocity vector is determined based upon the roll and pitch parameters, road surface friction coefficient, angular velocity, road wheel angles and the first vehicle velocity vector. A final vehicle velocity vector is determined based upon fusion of the first and second vehicle velocity vectors. The vehicle is controlled based upon the final vehicle velocity vector.

The present disclosure relates to an integrated control apparatus for a vehicle, a system including the same, and a method thereof, and an exemplary embodiment of the present disclosure provides an integrated control apparatus for a vehicle, including: a processor configured to perform braking control in an initial stage of steering control of a driver, to control a damping force of an electronic controlled suspension, to release the braking control in a later stage of steering control of the driver, and to increase the damping force of the electronic controlled suspension; and a storage configured to store data obtained by the processor and an algorithm for driving the processor.

The present disclosure relates to an integrated control apparatus for a vehicle, a system including the same, and a method thereof, and an exemplary embodiment of the present disclosure provides an integrated control apparatus for a vehicle, including: a processor configured to perform braking control in an initial stage of steering control of a driver, to control a damping force of an electronic controlled suspension, to release the braking control in a later stage of steering control of the driver, and to increase the damping force of the electronic controlled suspension; and a storage configured to store data obtained by the processor and an algorithm for driving the processor.

A posture estimation device estimates a posture of a movable body based on acceleration information based on a posture change of the movable body and angular velocity information based on the posture change of the movable body. The posture estimation device includes a storage unit that stores the acceleration information, the angular velocity information, and a plurality of posture parameters related to a movement of the movable body, a parameter control unit that selects a selection posture parameter from the plurality of posture parameters, and a posture calculation unit that estimates the posture of the movable body by using the acceleration information, the angular velocity information, and the selection posture parameter.

A device detects a behavior of a straddle-type vehicle in a yaw direction and in a roll direction, determines whether a traveling state of the straddle-type vehicle is a first state or a second state closer to a straight traveling state than the first state, and estimates a turning radius of the straddle-type vehicle. In a case where it is determined that the traveling state is the first state, a turning radius is estimated by a first method based on a detection result of the behavior in the yaw direction. In a case where it is determined that the traveling state is the second state, the turning radius is estimated by a second method based on a detection result of the behavior in the roll direction.

A device detects a behavior of a straddle-type vehicle in a yaw direction and in a roll direction, determines whether a traveling state of the straddle-type vehicle is a first state or a second state closer to a straight traveling state than the first state, and estimates a turning radius of the straddle-type vehicle. In a case where it is determined that the traveling state is the first state, a turning radius is estimated by a first method based on a detection result of the behavior in the yaw direction. In a case where it is determined that the traveling state is the second state, the turning radius is estimated by a second method based on a detection result of the behavior in the roll direction.

In an abnormality determination device for determining presence or absence of an abnormality of a 6-axis inertial measurement sensor installed in a vehicle to detect a forward-backward acceleration, a lateral acceleration, a vertical acceleration, a roll rate, a pitch rate, and a yaw rate of the vehicle, the abnormality determination device includes: a 3-axis inertial measurement sensor that detects the forward-backward acceleration, the lateral acceleration, and the yaw rate; and an abnormality determination unit that determines presence or absence of an abnormality of the 6-axis inertial measurement sensor, wherein the abnormality determination unit determines the presence or absence of an abnormality of the 6-axis inertial measurement sensor by comparing the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 6-axis inertial measurement sensor with the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 3-axis inertial measurement sensor, respectively.

In an abnormality determination device for determining presence or absence of an abnormality of a 6-axis inertial measurement sensor installed in a vehicle to detect a forward-backward acceleration, a lateral acceleration, a vertical acceleration, a roll rate, a pitch rate, and a yaw rate of the vehicle, the abnormality determination device includes: a 3-axis inertial measurement sensor that detects the forward-backward acceleration, the lateral acceleration, and the yaw rate; and an abnormality determination unit that determines presence or absence of an abnormality of the 6-axis inertial measurement sensor, wherein the abnormality determination unit determines the presence or absence of an abnormality of the 6-axis inertial measurement sensor by comparing the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 6-axis inertial measurement sensor with the forward-backward acceleration, the lateral acceleration, and the yaw rate acquired by the 3-axis inertial measurement sensor, respectively.