Hardware Connectivity

Connect sensor fusion and tracking algorithms with hardware

These examples illustrate how to set up hardware, access hardware data, and process these data using algorithms provided in Navigation Toolbox™.

Featured Examples

Estimate Orientation with a Complementary Filter and IMU Data

Stream IMU data from an Arduino board and estimate orientation using a complementary filter.

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Estimating Orientation Using Inertial Sensor Fusion and MPU-9250

Get data from an InvenSense MPU-9250 IMU sensor, and to use the 6-axis and 9-axis fusion algorithms in the sensor data to compute orientation of the device.

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Wireless Data Streaming and Sensor Fusion Using BNO055

Get data from a Bosch BNO055 IMU sensor through an HC-05 Bluetooth® module, and to use the 9-axis AHRS fusion algorithm on the sensor data to compute orientation of the device. The example creates a figure which gets updated as you move the device.

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Binaural Audio Rendering Using Head Tracking

Track head orientation by fusing data received from an IMU, and then control the direction of arrival of a sound source by applying head-related transfer functions (HRTF).

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Estimate Phone Orientation Using Sensor Fusion

MATLAB Mobile™ reports sensor data from the accelerometer, gyroscope, and magnetometer on Apple or Android mobile devices. Raw data from each sensor or fused orientation data can be obtained. This example shows how to compare the fused orientation data from the phone with the orientation estimate from the ahrsfilter object.

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Estimate Orientation Using AHRS Filter and IMU Data in Simulink

Stream IMU data from sensors connected to Arduino® board and estimate orientation using AHRS filter and IMU sensor.

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