172results about "Acceleration measurement using gyroscopes" patented technology

The invention discloses a vehicle collision detection method based on a multi-modal fusion visual terminal, and the method comprises the steps: S1, analyzing a track data packet uploaded by a device end in real time, and obtaining vehicle motion parameters of a predetermined time length and a predetermined dimension; s2, collecting audio and video data of a preset time window of the trigger track data packet, and decoding audio and video information of a set time length; s3, performing data preprocessing on each analyzed modal parameter, constructing a feature set of a single-modal collision detection dimension, and performing feature screening; s4, fusing the sensor gyroscope and the audio and video multi-modal features; and S5, constructing a multi-modal subdivision scene based on the multi-modal features, and constructing a push rule of vehicle collision detection by adopting a decision tree algorithm. According to the invention, modeling is carried out by fusing the three-axis acceleration and audio and video data acquired by the sensor, so that the collaborative and complementary detection of vehicle collision based on multi-modal data is realized.

A measurement device (MD) for measuring depth within a borehole comprising a sensing component including, at least, a plurality of accelerometers configured to generate accelerometer data as the MD moves through the borehole. The MD further comprises a controller component configured to correct the accelerometer data generated by the sensing component by: repeatedly, for each of a plurality of movement periods in which the MD moves within the borehole: altering the accelerometer data generated during the movement period to reduce errors associated with the movement of the MD, based on the accelerometer data generated in at least one of a first stationary period of the MD and a second stationary period of the MD, the first and second stationary periods occurring respectively before and after the movement period, wherein each of the plurality of movement periods corresponds to extraction of a portion of the drill string from the borehole.

Systems and methods for performing operations on an augmented reality (AR) device are provided. The system accesses movement data including inertial measurement data and camera data through the AR device. The system determines three-dimensional (3D) movement of the AR device based on the movement data. The system presents, through the AR device, the AR object on a real-world environment being viewed using the AR device. The system modifies the AR object by the AR device in response to determining the 3D movement of the AR device.

The invention discloses a method for installing and adjusting a double-reading-head photoelectric encoder on a gyro accelerometer, which comprises the following steps of: initially installing a coded disc base and an optical component, measuring the size, adjusting a grating gap, reinstalling the optical component, installing the coded disc component, testing a signal, fastening the optical component and the coded disc component, installing a receiving plate and arranging a wire harness. The oscilloscope is used for observing sine and cosine signals and a zero position, the industrial personal computer is used for reading an angle value given by the signal processing and output circuit, the installation accuracy of the double-reading-head photoelectric encoder is judged, and the purpose that the double-reading-head photoelectric encoder is installed on the gyro accelerometer in a high-precision mode is achieved. The problem of high-precision installation of the double-reading-head photoelectric encoder in the limited space of the gyro accelerometer is solved, the installation and adjustment operation is simpler and more efficient, particularly, high-precision optical methods such as a multi-face prism and an autocollimator are not needed, and the method is more suitable for completing installation and adjustment or maintenance in off-line scenes such as a user site.

A control device 50 as a road gradient estimation device estimates the road gradient of a road on which a vehicle 10 is traveling on the basis of an inertial acceleration derived on the basis of an inertial force in a traveling direction of the vehicle 10 and an actual acceleration derived on the basis of the amount of change in the vehicle speed of the vehicle 10. The control device 50 includes a forward / backward movement determination unit M11 for modifying a forward / backward movement determination indicating whether the vehicle 10 is moving backward. The control device 50 includes an acceleration correction unit M12 that acquires the inertial acceleration as a first acceleration and the actual acceleration as a second acceleration, and, when the forward / backward movement determination is modified, performs correction to invert the sign of the first acceleration or the second acceleration. The control device 50 includes a gradient estimation unit for estimating the road gradient on the basis of the difference between the first acceleration and the second acceleration.

A processing system includes: an acquisition unit, an arithmetic unit, an output unit. The acquisition unit that acquires first vibration information of a first channel and second vibration information of a second channel about vibration of an object. The arithmetic unit that calculates a spectrogram including at least one of a cross-power spectrogram, a cross-phase spectrogram, and a coherence spectrogram of the first vibration information and the second vibration information. The output unit that outputs presentation information on at least one of condition monitoring, quality control, and predictive maintenance of the object, based on the spectrogram.

Systems and methods are provided for performing operations on an augmented reality (AR) device. The system accesses, by the AR device, movement data comprising inertial measurement data and camera data. The system determines three-dimensional (3D) movement of the AR device based on the movement data. The system presents, by the AR device, an AR object on a real-world environment being viewed using the AR device. The system, in response to determining the 3D movement of the AR device, modifies the AR object by the AR device.

The invention discloses an impact resistance method and device for a stabilized platform based on a micromechanical gyroscope, and the method comprises the steps: recording the angle amount of the stabilized platform which is not operated due to a control bandwidth when the stabilized platform is subjected to impact or high-frequency vibration by adopting a gyroscope integration method, and continuously compensating the angle amount to a control system. The problem of pointing angle deviation caused by transient impact or high-frequency vibration can be effectively solved. The invention relates to the technical field of platform design. According to the impact resistance method and device for the stabilized platform based on the micromechanical gyroscope, the acceleration of the environment where the stabilized platform is located is calculated through a gyroscope differential method, and the acceleration is used for judging the stability of the platform environment and serves as a threshold value for starting integration of gyroscope data; a solution is given under the condition that the stable holder in a continuous tracking state is subjected to external impact, the pointing of a system can be kept stable for small-order impact, and the stable holder can still point to a target after being impacted for large-order impact.

The invention discloses a gyro accelerometer dynamic error modeling and calibration method considering angular motion of a base, and belongs to the field of dynamics and control. The implementation method comprises the following steps: establishing kinematics and dynamics equations of the PIGA under the triaxial angular motion of the base, and deducing a complete error model comprising a static error term, a dynamic error term and a nonlinear error term; constructing a kinetic equation including inertia tensor, a moment balance equation and servo loop influence; quantitatively analyzing the influence of the angular motion parameters of the base on PIGA output errors; based on three-axis turntable experimental design, dynamic response of each axis of the PIGA is excited through single-axis, double-axis and three-axis angular velocity input, and error model coefficients are separated and calibrated; error model parameters are calibrated by adopting a mode of combining a least square method and other data fitting algorithms; angular velocity and angular acceleration terms are separated based on direction cosine matrix transformation, and error coefficient aliasing is avoided; dynamic response data are fitted through a least square method, and all error coefficients are calibrated at a time.

Disclosed herein is an attack detection device for detecting an attack targeting a gyroscope. The attack detection device includes: a data collection unit configured to receive measurement values from an accelerometer and the gyroscope; and an attack detection unit configured to estimate an angular velocity using the measurement value from the accelerometer, and to detect an attack by comparing the estimated angular velocity to an angular velocity measured by the gyroscope.

The invention discloses a method for calculating the motion trajectory and speed of a battery by using a three-axis gyroscope, comprising the following steps: step one, establishing an initial operation library; step two, updating the operation library data; step three, establishing an initial trajectory; step four, optimizing the trajectory path; step five, establishing a speed model; step six, refining the model nodes; and step seven, calculating the speed at a time point. The invention collects the running angular velocity of the battery by using a three-axis gyroscope, and then restores the running trajectory of the battery by calculating the attitude angle, thereby ensuring the accuracy of the established motion trajectory, and obtaining the battery speed direction at a corresponding time node by performing curvature optimization on the established running trajectory, thereby improving the practicability of the calculation method, and refining the nodes on the battery running trajectory and establishing a trajectory database, and then using the speed point data adjacent to a specific time point to calculate the instantaneous speed at a specific time, thereby meeting complex actual detection requirements.

A mount security detection method for an in-vehicle information capture device having at least one acceleration sensor to gather acceleration data, and comparing a sample of the acceleration data for

To provide a sensor module capable of improving effectiveness and reliability of increased precision of detection data.SOLUTION: A sensor module 100 includes a board 21, a board 22, and a flexible board 40 for connecting the board 21 and the board 22. The board 21 includes a sensor device 11a for detecting an angular velocity around the Z axis, a sensor device 12a for detecting an angular velocity around the X axis, and a sensor device 13a for detecting an angular velocity around the Y axis. The board 22 includes a sensor device 11b for detecting the angular velocity around the Z axis, a sensor device 12b for detecting the angular velocity around the X axis, and a sensor device 13b for detecting the angular velocity around the Y axis.SELECTED DRAWING: Figure 4

A system and methods for monitoring and evaluating the performance of a lawn-care technician. A Technician Performance Module (TPM) is affixed to or embedded in a device or apparatus used by the technician, such as a sprayer or a spreader. The TPM comprises a plurality of sensors (e.g., GPS, gyroscope, accelerometer, compass, pedometer) which collect, store, and / or transmit an assortment of data as described below. The data may be transmitted wirelessly to a control box, which may be located in a nearby vehicle, such as a truck used by the technician at the site of the lawn-care services being provided. The data also may be transmitted wireless to a cellular or wireless gateway for transmission to system servers for storage and analysis.

This wrist-wearable electronic device may comprise: a sensor; communication circuitry; a display; a memory storing instructions; and at least one processor including processing circuitry. The instructions, when executed individually or collectively by the at least one processor, may cause the wrist-wearable electronic device to: while a first screen is displayed, acquire information related to an angle between the wrist-wearable electronic device and a finger-wearable electronic device; display a second screen on the basis of user input information being received from the finger-wearable electronic device and the angle being within a first angle range; and display a third screen on the basis of user input information being received from the finger-wearable electronic device and the angle being within a second angle range.

Provided is an inertial sensor module having excellent detection accuracy. The inertial sensor module includes: a first sensor having a first axis, a second axis, and a third axis as detection axes; and a second sensor having accuracy higher than that of the first sensor and having the third axis as a detection axis. The first sensor and the second sensor are disposed on an inner bottom surface which is one plane in a package. The first sensor and the second sensor are sealed by the package in an airtight manner.

The invention discloses a building talkback intelligent emergency safety center system based on multi-mode perception. The building talkback intelligent emergency safety center system comprises a perception layer, a data processing layer, a decision response layer and a collaboration layer. According to the invention, an active security and protection mechanism integrating real-time monitoring, second-level data processing, dynamic decision making and cross-domain linkage is constructed, so that rapid emergency response within one minute is realized, access control locking can be triggered within 10 seconds in a high-risk scene, alarm pushing and linkage of 110 and medical resources are realized, and the emergency handling efficiency is effectively improved; through multi-mode perception fusion and AI cross validation, environment interference and real risks are effectively distinguished, the false alarm rate is effectively reduced, and the recognition accuracy of events such as falling down and invasion of the old is remarkably improved; and the intercom system is used as a core to seamlessly integrate the elevator, the gas valve and other terminals, data intercommunication and co-processing with community medical treatment, security and other resources are realized, information islands are broken, and the comprehensive security cost of the community is reduced.

To estimate road grade regardless of whether a vehicle is moving forward or backward regarding a road gradient estimation device.SOLUTION: A control device 50 as a road gradient estimation device estimates road grade of a road on which a vehicle 10 travels on the basis of inertia acceleration which is introduced out on the basis of inertia force of a travel direction of the vehicle 10 and actual acceleration which is introduced out on the basis of the amount of variation of vehicle speed of the vehicle 10. The control device 50 is provided with an advance and backing determination unit M11 which changes advance and backing determination which represents whether or not the vehicle 10 is moving backward. The control device 50 is provided with an acceleration correction unit M12 which acquires inertia acceleration as a first acceleration and actual acceleration as a second acceleration and performs correction to reverse positive and negative of the first acceleration or the second acceleration when the advance and backing determination is changed. The control device 50 is provided with a gradient estimation unit which estimates the road grade on the basis of a difference between the first acceleration and the second acceleration.SELECTED DRAWING: Figure 1

The invention relates to a MEMS accelerometer with high mechanical robustness. The MEMS accelerometer has a substrate and a sense mass suspended at a distance from the substrate in an out-of-plane direction. The sense mass is coupled to the substrate to experience out-of-plane movement relative to the substrate in response to acceleration along an out-of-plane direction. The MEMS accelerometer also has a damping structure configured to damp in-plane movement of the sense mass relative to the substrate. The damping structure has a plurality of movable fingers integral with the sense mass and a plurality of fixed fingers integral with the base plate and intersecting the movable fingers. The movable fingers and / or the fixed fingers have a variable length along a first in-plane direction transverse to the out-plane direction.

A sensor module includes a first substrate, a second substrate, and a connection portion forming a connection between the first substrate and the second substrate. The first substrate is provided with a first sensor device configured to detect a physical quantity on a first axis, a second sensor device configured to detect a physical quantity on a second axis, and a third sensor device configured to detect a physical quantity on a third axis. The second substrate is provided with a fourth sensor device configured to detect a physical quantity on the first axis, a fifth sensor device configured to detect a physical quantity on the second axis, and a sixth sensor device configured to detect a physical quantity on the third axis.

Disclosed is an image storage device which can be mounted on a vehicle and which captures and stores images around the vehicle. The image storage device according to the present disclosure comprises: a photographing unit that photographs and acquires a real-time driving image of a vehicle; an accident prediction unit that analyzes the real-time traveling image using a pre-learned accident detection artificial intelligence model and predicts the possibility of an accident occurring in the vehicle; a storage unit that, if it is determined that there is a possibility of occurrence of the accident, stores a traveling image including a predetermined period of time before and after an accident detection time based on the accident detection time; the communication part is used for sending the driving images in the preset time period to a loss ratio judgment server, and the accident detection artificial intelligence model is a model which is trained by utilizing training data marked with accident images and normal driving images and through a supervised learning mode.

The present invention discloses an elevator acceleration fault detection method and device based on improved meta-learning, comprising: obtaining and preprocessing the original acceleration response data sequence of a target elevator; randomly selecting a support set and a query set after preprocessing; constructing and training an acceleration fault detection model; extracting features from the support set and the query set; performing prototype calculation on the extracted features to obtain a loss, wherein an intra-class distance regularization term is introduced in the prototype calculation; obtaining a difficult sample library; testing the acceleration fault detection model on a test set to obtain the model's accuracy; adjusting the support set and the query set based on the accuracy; repartitioning the adjusted support set and query set based on the difficult sample library; and retraining the acceleration fault detection model using the retrained acceleration fault detection model. This method solves the technical problems of few-sample generalization and class imbalance in related technologies.

The invention relates to a method and device for recognizing road collapse based on mobile phone navigation data, and belongs to the technical field of road safety monitoring, and the method comprises the steps: monitoring the driving speed of a target vehicle on an expressway based on the positioning data of a mobile phone in the target vehicle; if it is monitored that the running speed of the target vehicle is changed from the first vehicle speed to the second vehicle speed within the preset time, it is determined that running abnormity occurs in the target vehicle; under the condition that the target vehicle is abnormal in driving, the collision acceleration vector direction and the driving acceleration of the target vehicle when the vehicle speed changes are obtained based on the IMU data of the mobile phone, and whether the abnormal driving of the target vehicle is collapse and falling or not is judged based on the collision acceleration vector direction and the driving acceleration; and if the driving abnormity of the target vehicle is collapse and falling, determining that the road surface collapse occurs on the expressway, thereby facilitating efficient, accurate and low-cost recognition of the road surface collapse state.

To provide an inertial sensor module that has excellent detection accuracy.SOLUTION: An inertial sensor module 1 comprises: a first sensor 100 that has a first axis, a second axis, and a third axis as detection axes; and a second sensor 200 that has higher accuracy than the first sensor 100 and has the third axis as a detection axis. The first sensor 100 and the second sensor 200 are arranged on an inner bottom surface 2a that is one plane in a package 2, and the first sensor 100 and the second sensor 200 are hermetically sealed by the package 2.SELECTED DRAWING: Figure 1

Various embodiments are provided herein for a system and method for automatic monitoring of pavement condition. In at least some embodiments provided herein, there is provided a method for assessing a condition of a pavement segment, the method comprising: analyzing, using a trained machine learning model, an image of the pavement segment; generating, by the machine learning model, an output comprising one or more identified first pavement distresses in the pavement segment; analyzing accelerometer data associated with the pavement segment; based on the analyzing, determining one or more identified second pavement distresses in the pavement segment; and based on the one or more identified first and second pavement defects, determining pavement condition data associated with the pavement segment.

Systems and methods are provided for performing operations on an augmented reality (AR) device. The system accesses, by the AR device, movement data comprising inertial measurement data and camera data. The system determines three-dimensional (3D) movement of the AR device based on the movement data. The system presents, by the AR device, an AR object on a real -world environment being viewed using the AR device. The system, in response to determining the 3D movement of the AR device, modifies the AR object by the AR device.

A system for monitoring body movement, comprising an inertial motion sensing unit arranged to measure movement of a body part, the sensing unit arranged to iteratively collect data representing movement of the body part over time; and a processor for receiving and analysing the data to determine risk of injury of the body part and / or to track the movement of the body part.

This electronic device comprises: a memory for storing instructions; a communication interface for connecting to a terminal device; a display; and at least one processor including processing circuitry, wherein the instructions, when executed individually or collectively by the at least one processor, control the display to display a screen including a plurality of objects and a pointer user interface (UI), receive, through the communication interface, touch data from the terminal device operating in a first mode or motion data from the terminal device operating in a second mode, perform a function corresponding to the touch data when the touch data is received, and control the display so that the pointer UI is moved on the basis of the motion data when the motion data is received, and the terminal device operates in the second mode on the basis of a pre-configured event.

A device for detecting an angle of inclination of a vehicle having a chassis, a vehicle body carried by the chassis and connected by springs to unsprung components of the chassis. Vehicle wheels are coupled to the vehicle body by chassis control arms. Sensor arrangements, including at least one body sensor arrangement, are provided on the vehicle body and one or more chassis sensor arrangements is on the unsprung components of the chassis and / or the chassis control arms. Each sensor arrangement has acceleration sensors to detect translatory accelerations in different spatial directions and provide acceleration signals. An evaluation device connected to the sensor arrangements determines a pitch angle from the acceleration signals. Rotational movement sensors detect rotational movements about different axes and provide and body rotational movement signals characterizing these rotational movements. The pitch angle can be determined by the evaluation device using the body rotational movement signals.

A method for making downhole gyroscopic surveying measurements includes making at least one cross-axial gyroscope measurement in the subterranean wellbore; making accelerometer measurements including cross-axial accelerometer measurements in the subterranean wellbore; evaluating the cross-axial accelerometer measurements to determine at least one tool motion induced cross-axial rotational component; and removing the tool motion induced cross-axial rotational component from the at least one cross-axial gyroscope measurement to determine a compensated cross-axial gyroscope measurement.