The present disclosure relates to a hearing device comprising a first radar sensor configured for obtaining first radar data indicative of a difference in the orientation of a head of the user and a further body part of the user. A processing unit of the hearing device is configured to receive the first radar data from the first radar sensor and determine, based on the first radar data, a first relative orientation, wherein the first relative orientation is a difference in the orientation of the head of the user and the further body part of the user.

The present disclosure relates to a hearing device comprising a first radar sensor configured for obtaining first radar data indicative of a difference in the orientation of a head of the user and a further body part of the user. A processing unit of the hearing device is configured to receive the first radar data from the first radar sensor and determine, based on the first radar data, a first relative orientation, wherein the first relative orientation is a difference in the orientation of the head of the user and the further body part of the user.

The method for calibrating a micromachined inertial angle sensor (2) comprising a support, at least one vibrating mass movable relative to the support, at least one transducer for exciting vibrating movement of the vibrating mass, at least one transducer for detecting a vibration of the vibrating mass, and at least one electrostatic transducer being capable of applying an adjustable electrostatic stiffness to the vibrating mass, the calibration method comprising the steps of the angle sensor receiving a predetermined vibrational excitation emitted by an excitation device (18) separate from the excitation transducer; the detection transducer measuring the vibration of the vibrating mass to obtain a measurement signal (S.sub.m) from said measurement by the detection transducer; and transforming; determining, adjusting, and applying the electrostatic stiffness.

A posture estimation method includes calculating a posture change amount of an object based on an output of an angular velocity sensor, predicting posture information of the object by using the posture change amount, limiting a bias error in a manner of limiting a bias error component of an angular velocity around a reference vector in error information, and correcting the predicted posture information of the object based on the error information, the reference vector, and an output of a reference observation sensor.

Calibrating an unstable sensor of a mobile device. Systems and methods for calibrating a sensor of a mobile device determine a first estimated position of the mobile device without using any measurement from the sensor of the mobile device, generate a second estimated position of the mobile device using a measurement from the sensor, estimate a sensor error of the sensor using the first estimated position and the second estimated position, and use the sensor error to determine a calibration value for adjusting one or more measurements from the sensor.

Calibrating an unstable sensor of a mobile device. Systems and methods for calibrating a sensor of a mobile device determine a first estimated position of the mobile device without using any measurement from the sensor of the mobile device, generate a second estimated position of the mobile device using a measurement from the sensor, estimate a sensor error of the sensor using the first estimated position and the second estimated position, and use the sensor error to determine a calibration value for adjusting one or more measurements from the sensor.

The present invention provides a multi-sensor fusion-based Simultaneous Localization And Mapping (SLAM) mapping method and system for a server, comprising: obtaining a plurality of sensor data regarding a surrounding environment of a moving platform, the plurality of sensor data including point cloud data, image data, inertial measurement unit (IMU) data, and global navigation satellite system (GNSS) data; performing hierarchical processing on the plurality of sensor data to generate a plurality of localization information, wherein one sensor data corresponds to one localization information; obtaining target localization information of the moving platform based on the plurality of localization information; generating a high-precision local map based on the target localization information; and performing a closed-loop detection operation to the high-precision local map to obtain a high-precision global map of the moving platform. The present invention mitigates the technical problem in the related art that easy susceptibility to a surrounding environment leads to low precision.

A vibratory gyroscope system is described which utilizes a mechanical resonator having a first mode of vibration and an associated first natural frequency, and a second mode of vibration having an associated second natural frequency. The angular rate of motion input couples energy between the first and second modes of vibration. The gyroscope has driver circuits, sensors and actuators for the first and second modes. The invention utilizes a bias error shifting method which provides for shifting the bias error away from DC to a higher frequency, where it can be removed by low pass filtering. As a result of the inventive method, gyroscope systems can be produced with significantly lower bias error.

A vibratory gyroscope system is described which utilizes a mechanical resonator having a first mode of vibration and an associated first natural frequency, and a second mode of vibration having an associated second natural frequency. The angular rate of motion input couples energy between the first and second modes of vibration. The gyroscope has driver circuits, sensors and actuators for the first and second modes. The invention utilizes a bias error shifting method which provides for shifting the bias error away from DC to a higher frequency, where it can be removed by low pass filtering. As a result of the inventive method, gyroscope systems can be produced with significantly lower bias error.

Disclosed herein is a computerized method for land surveying. The method includes a calibration stage and a land surveying stage. The calibration stage includes: placing a total station (TS) at an origin; selecting at least three reference positions, each having good satellite reception and being at a line-of-sight from the TS; using an antenna(s) to obtain satellite coordinates of the reference positions; using the TS to obtain coordinates, relative thereto, of the reference positions; determining absolute coordinates of the origin, based on the obtained satellite coordinates and the coordinates relative to the TS. If the absolute coordinates of the origin are not determined to a required precision, repeating the calibration stage taking into account an additional reference position(s). Else, continuing to the land surveying stage, wherein the TS is used to measure coordinates, relative to the TS of locations in a surveyed area, thereby obtaining absolute coordinates of the locations.