A position detection element includes an exchange coupling film having a large exchange coupling magnetic field and a position detection apparatus showing good detection accuracy in a high temperature environment. The position detection element includes an exchange coupling film composed of a fixed magnetic layer and an antiferromagnetic layer stacked on the fixed magnetic layer. The antiferromagnetic layer includes an X(Cr—Mn) layer containing X that is one or more elements selected from the group consisting of platinum group metals and Ni and containing Mn and Cr. The X(Cr—Mn) layer includes a PtMn layer as a first region relatively closer to the fixed magnetic layer and a PtCr layer as a second region relatively farther from the fixed magnetic layer. The content of Mn in the first region is higher than the content of Mn in the second region.

An apparatus may include a command steering angle control portion removing noise of a first command steering angle and outputting a second command steering angle, a steering angle position control portion compensating for a first steering angle error corresponding to a difference between the second command steering angle and a first current steering angle, and outputting a first command current, a first responsiveness improving portion compensating for a second steering angle error corresponding to a difference between the second command steering angle and a second current steering angle, calculating a first compensation value, and applying the first compensation value to the steering angle position control portion, and a second responsiveness improving portion deriving a compensation gain, calculating a second compensation value on the basis of the first steering angle error and the compensation gain, and applying the second compensation value to the steering angle position control portion.

A steering control device includes a control unit. The control unit is configured to execute a control angle calculation process, an angle feedback process, and a standard value adjustment process. The control angle calculation process is a process of calculating a control angle as an absolute angle relative to a standard value, and the angle feedback process is a process of performing feedback control on the control angle, and the standard value adjustment process is a process of adjusting the stored standard value. The standard value adjustment process includes a process of, when, in a straight-ahead state, the control angle deviates from a value showing the straight-ahead state, adjusting the standard value such that the deviation of the control angle from the value showing the straight-ahead state decreases.

A system comprises: a radio frequency (RF) resonator comprising a cavity and a tuning element, the cavity having at least one port, and the tuning element having a length inside the cavity; a processor; a spectrum analyzer coupled to the at least one port, the spectrum analyzer to provide to the processor values of a resonance parameter, the resonance parameter indicative of a resonant wavelength of the RF resonator; and an automotive steering mechanism coupled to the tuning element.

Examples relating to vehicle velocity calculation using radar technology are described. An example method performed by a computing system may involve, while a vehicle is moving on a road, receiving, from two or more radar sensors mounted at different locations on the vehicle, radar data representative of an environment of the vehicle. The method may involve, based on the data, detecting at least one scatterer in the environment. The method may involve making a determination of a likelihood that the at least one scatterer is stationary with respect to the vehicle. The method may involve, based on the determination being that the likelihood is at least equal to a predefined confidence threshold, calculating a velocity of the vehicle based on the data from the sensors. The calculated velocity may include an angular and linear velocity. Further, the method may involve controlling the vehicle based on the calculated velocity.

A motor driven power steering control method may include setting a virtual steering system model including a column connecting a steering wheel to a rack gear, determining a column stiffness torque using torsional displacement of the column in the set virtual steering system model, and determining a target steering torque based on the determined column stiffness torque.

An assembly for plausibility checking and/or reinitializing a rear wheel steering system of a vehicle having a rear wheel steering unit, which includes at least one rear wheel actuator for adjusting a rear-wheel steering angle and a sensor for detecting the set position of the rear wheel actuator, with at least one reference sensor for detecting a reference signal and with an electronic control unit for carrying out the plausibility check and/or reinitialization of the sensor. The reference sensor is part of a vehicle unit different from the rear wheel steering unit and is designed to detect a vehicle-status-dependent reference signal. Furthermore, the control unit includes at least one mathematical model which, based on the vehicle-status-dependent reference signal, can determine a reference value and/or a reference vehicle status, with which the plausibility check and/or reinitialization can be carried out by the control unit.

Method for detecting the presence of a driver's hands on the steering wheel is described. By a mathematical model, at least one part of a steering system of the motor vehicle is modeled. In addition, a rotational angle of a lower end and/or an upper end of a torsion bar of the steering system is determined. A torque acting on the torsion bar is determined by a measuring device. A sum of a torque with which the driver acts on the steering wheel and a counter-torque generated by friction in the upper part of the steering system is estimated by a Kalman Filter. In addition, the counter-torque is estimated, and the estimated sum of the torque and the counter-torque are used to determine whether the driver's hands are on the steering wheel.

A method for controlling an autonomous vehicle includes: determining whether an autonomous control mode of the autonomous vehicle is active; determining a steering wheel angle bias in response to determining that the autonomous control mode of the autonomous vehicle is active; and controlling, via a steering controller of the autonomous vehicle, an electronic power steering system of the autonomous vehicle using the steering wheel angle bias.

Provided is a vehicle control device capable of accurately estimating a self-vehicle location with a yaw angle error occurring when a vehicle starts to travel due to an initial phase shift between pulsed waveforms of left and right wheels when the vehicle starts to travel suppressed. The vehicle control device further estimates a direction of wheel rotation while the vehicle is at a stop. A yaw angle deviation when the vehicle starts to travel is estimated and corrected on the basis of a weighted average of discrete yaw angle values obtained immediately after the vehicle starts to travel from wheel speed sensors installed on left and right non-steered wheels of the vehicle. A yaw angle while the vehicle is at a stop and a yaw angle when the vehicle starts to travel are also estimated, and the direction of wheel rotation while the vehicle is at a stop is also estimated from a difference between the yaw angles. The yaw angle and coordinates are corrected on the basis of the estimation result.