Systems and methods for a time-based optical pickoff for MEMS sensors are provided. In one embodiment, a method for an integrated waveguide time-based optical-pickoff sensor comprises: launching a light beam generated by a light source into an integrated waveguide optical-pickoff monolithically fabricated within a first substrate, the integrated waveguide optical-pickoff including an optical input port, a coupling port, and an optical output port; and detecting changes in an area of overlap between the coupling port and a moving sensor component separated from the coupling port by a gap by measuring an attenuation of the light beam at the optical output port, wherein the moving sensor component is moving in-plane with respect a surface of the first substrate comprising the coupling port and the coupling port is positioned to detect movement of an edge of the moving sensor component.

Systems and methods for a time-based optical pickoff for MEMS sensors are provided. In one embodiment, a method for an integrated waveguide time-based optical-pickoff sensor comprises: launching a light beam generated by a light source into an integrated waveguide optical-pickoff monolithically fabricated within a first substrate, the integrated waveguide optical-pickoff including an optical input port, a coupling port, and an optical output port; and detecting changes in an area of overlap between the coupling port and a moving sensor component separated from the coupling port by a gap by measuring an attenuation of the light beam at the optical output port, wherein the moving sensor component is moving in-plane with respect a surface of the first substrate comprising the coupling port and the coupling port is positioned to detect movement of an edge of the moving sensor component.

A distance measurement device for further reducing error in distance measurement results is provided. A reflective object disposed at a position of a predetermined distance along a path of a light from a light source is included. Then, first, a first time measurement unit measures a first time from when first light is emitted from the light to when reflective light from the reflective object is received by a light-receiving element. Thereafter, a second time measurement unit measures a second time from when second light is emitted from the light source to when reflective light from a target 1 is received by the light-receiving element. Subsequently, a distance calculation unit calculates a distance from the light source to the target along a path of the second light on the basis of the predetermined distance, the first time, and the second time. Accordingly, calibration for a distance measurement result is performed.

A method for calibrating an internal sensor in a vehicle with an external sensor which is designed to detect external positional data dependent on a position of the vehicle. The method includes: detecting the external positional data using the external sensor; sending the external positional data to the vehicle and filtering the internal positional data based on the external positional data and dependent on the position of the vehicle and by an internal sensor.

An inertial measurement unit (IMU) self-test system includes an IMU and a control circuit. The control circuit is configured to receive IMU data collected by the IMU and inputs from systems external to the IMU indicative of mechanical stimulus, wherein the control circuit utilizes IMU data collected in response to the mechanical stimulus to determine IMU validity.

An inertial measurement unit (IMU) self-test system includes an IMU and a control circuit. The control circuit is configured to receive IMU data collected by the IMU and inputs from systems external to the IMU indicative of mechanical stimulus, wherein the control circuit utilizes IMU data collected in response to the mechanical stimulus to determine IMU validity.

A motion state monitoring system including: a selection unit that selects one or a plurality of sensors from among a plurality of sensors associated with a plurality of respective body parts of a body of a subject based on one or a plurality of specified motions to be monitored; a calibration result determination unit that determines whether or not a calibration of each of at least the one or plurality of sensors selected by the selection unit has been completed; a calculation processing unit that generates a result of a calculation indicating a motion state of the subject based on a result of detection performed by each of the one or plurality of sensors selected by the selection unit when the calibration result determination unit determines that the calibration has been completed; and an output unit that outputs the result of the calculation performed by the calculation processing unit.

A motion state monitoring system including: a selection unit that selects one or a plurality of sensors from among a plurality of sensors associated with a plurality of respective body parts of a body of a subject based on one or a plurality of specified motions to be monitored; a calibration result determination unit that determines whether or not a calibration of each of at least the one or plurality of sensors selected by the selection unit has been completed; a calculation processing unit that generates a result of a calculation indicating a motion state of the subject based on a result of detection performed by each of the one or plurality of sensors selected by the selection unit when the calibration result determination unit determines that the calibration has been completed; and an output unit that outputs the result of the calculation performed by the calculation processing unit.

The present disclosure relates to a method and apparatus for determining the misalignment between a device and a platform (such as for example a vessel or vehicle) using acceleration and/or deceleration of the platform, wherein the device can be strapped or non-strapped to the platform, wherein in case of non-strapped the mobility of the device may be constrained or unconstrained within the platform. In case of non-strapped, the device may be moved or tilted to any orientation within the platform and still provide a seamless navigation solution without degrading the performance of this navigation solution. When the device is in a holder in the platform, it is still considered non-strapped, as it may move with respect to the platform. The present method can utilize measurements (readings) from sensors (such as for example, accelerometers, odometer/wheel encoders, gyroscopes, etc.) whether in the presence or in the absence of navigational information updates (such as, for example, Global Navigation Satellite System (GNSS) or WiFi positioning).

An installation process for a sensor associated with a passenger conveyance system, the process including at least partially automatically calibrating a sensor coordinate system to a world coordinate system via a calibration matrix, wherein the sensor coordinate system is at least partially obtained using a depth map.