An orientation assembly includes a platform and a locking assembly engageable with the platform and positionable in a first state in which the platform is permitted to rotate about a lateral axis and inhibited from rotating about a longitudinal axis perpendicular to the lateral axis, and a second state in which the platform is permitted to rotate about the longitudinal axis and inhibited from rotating about the lateral axis.

An orientation assembly includes a platform and a locking assembly engageable with the platform and positionable in a first state in which the platform is permitted to rotate about a lateral axis and inhibited from rotating about a longitudinal axis perpendicular to the lateral axis, and a second state in which the platform is permitted to rotate about the longitudinal axis and inhibited from rotating about the lateral axis.

An embodiment inertial measurement system includes: at least one motion sensor to output motion data with an output data rate (ODR) period; and a control unit coupled to the motion sensor to control operation thereof based on a power mode switching, according to which each ODR period includes: a first phase, in which the motion sensor is controlled in a condition of low power consumption; and a subsequent measurement phase, in which the motion sensor is controlled to perform measurements for generation of measurement data. The control unit adaptively adjusts the duration of the ODR period based on at least one check related to the measurement data generated during the measurement phase.

An embodiment inertial measurement system includes: at least one motion sensor to output motion data with an output data rate (ODR) period; and a control unit coupled to the motion sensor to control operation thereof based on a power mode switching, according to which each ODR period includes: a first phase, in which the motion sensor is controlled in a condition of low power consumption; and a subsequent measurement phase, in which the motion sensor is controlled to perform measurements for generation of measurement data. The control unit adaptively adjusts the duration of the ODR period based on at least one check related to the measurement data generated during the measurement phase.

A rotorcraft is described and includes an inertial measurement unit (“IMU”) sensor mounted to the rotorcraft, the IMU sensor oriented relative to the rotorcraft such that a roll attitude of the rotorcraft occurs about a Z-axis and has a range of ±90 degrees, a pitch attitude of the rotorcraft occurs about an X-axis and has a range of ±180 degrees, and a yaw attitude of the rotorcraft occurs about a Y-axis and has a range of ±180 degrees.

Embodiments of the present disclosure provide systems and methods to eliminate (or filter) drift for dynamics model based localization of multirotors. The dynamics equations require drag modelling, which is dependent on velocity, to generate vehicles' acceleration along the body axis. The present disclosure considers the drag contribution, at velocity level, as a low frequency component. Incorrect or nonmodelling of this low frequency component leads to drift at velocity level. This drift can then be removed through a high pass filter to obtain drift free velocity data for pose estimation and better localization thereof.

A gyro stabilizer includes a rotor arranged to rotate about a spin axis, and a stator, wherein the rotor and the stator include rotor and stator assemblies, respectively. The rotor assembly is arranged radially outside the stator assembly with respect to the spin axis, wherein the rotor and/or stator assemblies include magnets with magnetic axis in the direction of the spin axis.

A pedestrian adaptive zero-velocity update point selection method based on a neural network, including the following steps: S1, collecting inertial navigation data of different pedestrians in different motion modes; S2, preprocessing the inertial navigation data collected in the step S1, labeling the preprocessed data, and obtaining a training data set, a validation data set, and a test data set according to the preprocessed data and a label corresponding to the preprocessed data; S3, inputting the training data set to a convolutional neural network for training, obtaining a pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and using the validation data set to validate the pedestrian adaptive zero-velocity update point selection model; and S4, inputting the test data set into the pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and obtaining a selection result of pedestrian zero-velocity update points.

A pedestrian adaptive zero-velocity update point selection method based on a neural network, including the following steps: S1, collecting inertial navigation data of different pedestrians in different motion modes; S2, preprocessing the inertial navigation data collected in the step S1, labeling the preprocessed data, and obtaining a training data set, a validation data set, and a test data set according to the preprocessed data and a label corresponding to the preprocessed data; S3, inputting the training data set to a convolutional neural network for training, obtaining a pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and using the validation data set to validate the pedestrian adaptive zero-velocity update point selection model; and S4, inputting the test data set into the pedestrian adaptive zero-velocity update point selection model based on the convolutional neural network, and obtaining a selection result of pedestrian zero-velocity update points.

A stabilization device for stabilizing an attachment component relative to movements of a basic component which occur outside a permitted plane of movement. The attachment component and the basic component are connected via a stabilization arrangement that includes: a first compensation arrangement for compensating rotational movements of the basic component with respect to an intermediate component, about rotational axes lying in the plane of movement, including a first compensation device which can be actuated actively, a second compensation arrangement for compensating residual linear movements of the intermediate component in a compensation direction, perpendicular to the plane of movement, in relation to the attachment component, having a second compensation device which can be actuated actively, a plurality of inertial sensors assigned to the first and/or second compensation arrangement, and a control device for actuating the compensation devices for movement compensation as a function of sensor data of the inertial sensors.