Dead reckoning by determining misalignment angle between movement direction and sensor heading direction

    公开(公告)号:US11199410B2

    公开(公告)日:2021-12-14

    申请号:US16399829

    申请日:2019-04-30

    Abstract: A device including microelectromechanical systems (MEMS) sensors is used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a sensor frame of the device with either the movement direction of the vehicle or the walking direction of a pedestrian using the MEMS sensors, the device can accurately calculate the location of a user of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of a pedestrian and a user riding in a vehicle without utilizing GPS/GNSS signals can be provided.

    Mobile device transportation mode management device, system and method

    公开(公告)号:US10530920B1

    公开(公告)日:2020-01-07

    申请号:US16407947

    申请日:2019-05-09

    Abstract: A portable device includes one or more memories and travel mode control circuitry coupled to the one or more memories. The travel mode control circuitry, in operation, monitors motion data and temperature data to detect a first travel state of the device. When the first travel state of the device is detected, motion data and pressure data are monitored to detect a transition from the first travel state to a second travel state of the device. When the transition to the second travel state of the device is detected, one or more control signals are generated to cause the device to enter a first travel mode of operation.

    Method for calibration of magnetic sensor

    公开(公告)号:US10151805B2

    公开(公告)日:2018-12-11

    申请号:US14974402

    申请日:2015-12-18

    Abstract: A method includes acquiring magnetic data from a magnetometer, processing the magnetic data to perform robust calibration, and generating optimum calibration parameters using a calibration status indicator. To that end, the method includes generating a calibration status indicator as a function of time elapsed since a last calibration and variation in total magnetic field in previously stored magnetic data, detecting anomalies, and extracting a sparse magnetic data set using comparison between the previously stored magnetic data and the magnetic data. Calibration parameters are generated for the magnetometer using a calibration method as a function of the magnetic data set. The calibration parameters are stored based on performing a validation and stability check on the calibration parameters, and weighted with the previously stored calibration parameters to produce weighted calibration parameters. Calibration settings are generated as a function of the weighted calibration parameters, if the weighted calibration parameters were produced.

    METHOD FOR CALIBRATION OF MAGNETIC SENSOR
    10.
    发明申请

    公开(公告)号:US20170176546A1

    公开(公告)日:2017-06-22

    申请号:US14974402

    申请日:2015-12-18

    CPC classification number: G01R33/0035 G01R35/005

    Abstract: A method includes acquiring magnetic data from a magnetometer, processing the magnetic data to perform robust calibration, and generating optimum calibration parameters using a calibration status indicator. To that end, the method includes generating a calibration status indicator as a function of time elapsed since a last calibration and variation in total magnetic field in previously stored magnetic data, detecting anomalies, and extracting a sparse magnetic data set using comparison between the previously stored magnetic data and the magnetic data. Calibration parameters are generated for the magnetometer using a calibration method as a function of the magnetic data set. The calibration parameters are stored based on performing a validation and stability check on the calibration parameters, and weighted with the previously stored calibration parameters to produce weighted calibration parameters. Calibration settings are generated as a function of the weighted calibration parameters, if the weighted calibration parameters were produced.

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