The present disclosure relates to methods of enhancing a navigation solution about a device and a platform, wherein the mobility of the device may be constrained or unconstrained within the platform, and wherein the navigation solution is provided even in the absence of normal navigational information updates (such as, for example, GNSS). More specifically, the present method comprises utilizing measurements from sensors (e.g. accelerometers, gyroscopes, magnetometers etc.) within the device to calculate and resolve the attitude of the device and the platform, and the attitude misalignment between the device and the platform.

An electronics system has a board with a thermal interface having an exposed surface. A thermoelectric device is placed against the thermal interface to heat the board. Heat transfers through the board from a first region where the thermal interface is located to a second region where an electronics device is mounted. The electronics device has a temperature sensor that detects the temperature of the electronics device. The temperature of the electronics device is used to calibrate an accelerometer and a gyroscope in the electronics device. Calibration data includes a temperature and a corresponding acceleration offset and a corresponding angle offset. A field computer simultaneously senses a temperature, an acceleration and an angle from the temperature sensor, accelerometer and gyroscope and adjusts the measured data with the offset data at the same temperature. The field computer provides corrected data to a controlled system.

An apparatus for diagnosing an abnormality of a vehicle sensor is provided. The apparatus includes a sensor configured to measure an acceleration and an angular velocity of a vehicle, a camera configured to generate a front time series image frame of the vehicle, and a controller configured to estimate the acceleration and the angular velocity of the vehicle by using the front time series image frame generated by the camera and diagnose an abnormality in the sensor based on the acceleration and the angular velocity of the vehicle estimated by the controller.

A gyroscopic sensor unit detects a phase drift between a demodulated output signal and demodulation signal during output of a quadrature test signal. A delay calculator detects the phase drift based on changes in the demodulated output signal during application of the quadrature test signal. A delay compensation circuit compensates for the phase drift by delaying the demodulation signal by the phase drift value.

Various aspects of the subject technology relate to a mobile support platform for vehicle sensor calibration. The mobile support platform includes a chassis, lift posts on the chassis configured to interface with one or more lift points on a vehicle and raise the vehicle, and a set of wheels mounted to the chassis configured to carry the vehicle through a calibration sequence.

A microelectromechanical system (MEMS) gyroscope includes a driving mass and a driving circuit that operates to drive the driving mass in a mechanical oscillation at a resonant drive frequency. An oscillator generates a system clock that is independent of and asynchronous to the resonant drive frequency. A clock generator circuit outputs a first clock and a second clock that are derived from the system clock. The drive loop of the driving circuit including an analog-to-digital converter (ADC) circuit that is clocked by the first clock and a digital signal processing (DSP) circuit that is clocked by the second clock.

Systems and methods for calibrating multiple inertial measurement units on a system include calibrating a first of the inertial measurement units relative to the system using a first calibration model, and calibrating the remaining inertial measurement unit(s) relative to the first inertial measurement unit using a second calibration model. The calibration of the remaining inertial measurement unit(s) to the first inertial measurement unit can be based on a rigid body model by aligning a rotational velocity of the first inertial measurement unit with a rotational velocity of the remaining inertial measurement unit(s).

Described herein are methods and systems for controlling a sensor assembly with a plurality of same type sensors. Sensors are operated in active and inactive states. The activation state of at least one of the sensors is changed based on an operational parameter that relates to an environmental condition differentially affecting the plurality of same type sensors.

An apparatus for simulating an oscillating flight path is provided. The apparatus comprises a slide extending along a first axis; a support structure slidably coupled to the slide; and a table connected to the support structure. The support structure is operable to move along the slide. The table is coupled to the support structure and operable to rotate about a second axis orthogonal to the first axis. The table comprises a surface that is parallel to the second axis and that is operable to rotate about a third axis orthogonal to the second axis.

Motion can be induced at a vehicle, e.g., by actuating components of an active suspension system, and first sensor data and second sensor data representing an environment of the vehicle can be captured at a first position and a second position, respectively, resulting from the induced motion. A second sensor can determine motion information associated with the first position and the second position. Calibration information about the sensor, the first sensor data, and the motion information can be used to determine an expectation of sensor data at the second position. A calibration error can be the difference between the second sensor data and the expected sensor data.