An embodiment of an integrated atom chip used for measuring atoms is discussed. One or more magnetic traps integrated with an optical waveguide that is imprinted onto the integrated atom chip facilitate loading of the atoms into an evanescent field optical trap of the optical waveguide in order to measure the atoms. The two or more stages of cooling are used to progressively cool the atoms from an initial temperature down to a final temperature of the atoms when mode matched and loaded into the evanescent field optical trap of the optical waveguide.

The purpose of the present invention is to improve the pressure resistance of a cavity in a semiconductor sensor device employing a resin package, and to do so without adversely affecting the embeddability of an electrically conductive member. The semiconductor sensor device has a gap 1a sealed in an airtight manner inside a laminate structure of a plurality of laminated substrates 1, 4, and 5, and has a structure in which the outside of the laminate structure is covered by a resin, wherein a platy component 2 having at least one side that is greater in length than the length of one side of the gap 1a along this side is arranged to the outside of an upper wall 1b of the gap 1, the upper wall 1b of the gap being mechanically suspended by the platy component 2.

Provided is an acceleration sensor capable of realizing a simultaneous operation method of signal detection and servo control in place of a time-division processing method, by an MEMS process in which a manufacturing variation is large.

The acceleration sensor is an MEMS capacitive acceleration sensor and has capacitive elements for signal detection and capacitive elements for servo control different from the capacitive elements for the signal detection. A voltage to generate force in a direction reverse to a detection signal of acceleration by the capacitive elements for the signal detection is applied to the capacitive elements for the servo control. Further, the acceleration sensor includes a variable capacity unit compensating for a mismatch of capacity values of the capacitive elements for the servo control at an ASIC side, detects a leak signal due to the mismatch of the capacity values in an ASIC, controls a capacity value of the variable capacity unit, on the basis of a detection result, compensates for an influence of the mismatch of the capacity values, and executes a normal signal detection/servo control simultaneous operation.

An inertial measurement unit includes a sensor module including at least one inertial sensor and a printed substrate on which the inertia sensor is provided, and a lead group provided as a support member for supporting the printed substrate on an attachment surface, and leads of the lead group each have a first section coupled to the attachment surface, a second section extending from the first section toward the printed substrate in a direction that intersects the attachment surface, and a third section coupled to the printed substrate.

An inertial measurement unit includes a sensor module including at least one inertial sensor and a printed substrate on which the inertia sensor is provided, and a lead group provided as a support member for supporting the printed substrate on an attachment surface, and leads of the lead group each have a first section coupled to the attachment surface, a second section extending from the first section toward the printed substrate in a direction that intersects the attachment surface, and a third section coupled to the printed substrate.

Systems and methods for crash determination in accordance with embodiments of the invention are disclosed. In one embodiment, a vehicle telematics device includes a processor and a memory storing a crash determination application, wherein the processor, on reading the crash determination application, is directed to obtain sensor data from at least one sensor installed in a vehicle, calculate peak resultant data based on the sensor data, where the peak resultant data describes the acceleration of the vehicle over a first time period, generate crash score data based on the peak resultant data and a set of crash curve data for the vehicle, where the crash score data describes the likelihood that the vehicle was involved in a crash based on the characteristics of the vehicle and the sensor data, and provide the obtained sensor data when the crash score data exceeds a crash threshold to a remote server system.

An accelerometer arrangement and method are described for determining accelerations of an inground tool. First and second triaxial accelerometers are supported such that a normal sensing axis of the first triaxial accelerometer is at least generally orthogonal to the normal sensing axis of the second triaxial accelerometer for determining the accelerations along the three orthogonal axes based on a combination of sensing axis outputs from one or both of the triaxial accelerometers. A weaker sensing axis of one triaxial accelerometer can be supported at least approximately normal to a weaker sensing axis of another triaxial accelerometer such that the weaker axes are not used. The triaxial accelerometers can be supported such that one axis of one accelerometer can be redundant with respect to another axis of another accelerometer. One triaxial accelerometer can be mounted on a tilted plane with respect to another triaxial accelerometer.

A multi-axis acceleration sensor comprises a frame, a central mass disposed within the frame, and a plurality of transducers mechanically coupled between the frame and the central mass. At least a first set of the transducers are arranged between the frame and the central mass in a manner configured to measure translational and rotational motion with respect to a first predefined axis.

Disclosed is a method including receiving a depth map estimated using data based on image and data received from a movement sensor as input, generating an alignment parameter based on the depth map, adding the alignment parameter to a pre-calibration state to define a user operational calibration state, generating scale parameters and shift parameters based on features associated with the data received from the image and movement sensor, and calibrating the image and movement sensor based on the user operational calibration state, the scale parameters and the shift parameters.

Disclosed is a method including receiving a depth map estimated using data based on image and data received from a movement sensor as input, generating an alignment parameter based on the depth map, adding the alignment parameter to a pre-calibration state to define a user operational calibration state, generating scale parameters and shift parameters based on features associated with the data received from the image and movement sensor, and calibrating the image and movement sensor based on the user operational calibration state, the scale parameters and the shift parameters.