





Core highlights:
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Integrated high-precision sensors (3-axis gyroscope, 3-axis acceleration, 3-axis magnetometer)
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The internal integrated posture settlement period, combined with the dynamic Kalman filter algorithm, can accurately output the current posture of the module in a dynamic environment with extremely high stability.
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It provides accurate calculation data for determining the orientation of the object in 3D space, such as Euler angle, quaternion and the most commonly used roll, pitch, and yaw direction data.
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The use of digital filtering technology can effectively reduce measurement noise and improve measurement accuracy.
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It integrates a three-axis magnetometer and has good anti-magnetic interference ability to reduce accumulated errors.


Module parameters:
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Power supply: 4.7~5.5V
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Use current: 5.0mA
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Communication method: USB serial port
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Output data: three axes (gyroscope + acceleration + magnetometer). Quaternion
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Gyroscope range: ±2000°/s
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Acceleration range: ±8g
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Magnetometer range: ±1.3 Gauss
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Angle accuracy: static 0.1° dynamic 0.5°
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Return rate/baud rate: 300Hz/921600
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ROS topic: /handsfree/imu /handsfree/magModel

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6-axis IMU contains: 3-axis gyroscope, 3-axis accelerometer
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9-axis IMU contains: 3-axis gyroscope, 3-axis accelerometer, 3-axis magnetometer
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9-axis EKF fusion algorithm: there will be no accumulated drift error, but it is easily interfered by the magnetic field of the surrounding metal
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9-axis anti-jamming fusion algorithm: there will be no accumulated drift error. The magnetic field anti-jamming algorithm independently developed by the internal help can effectively filter the surrounding magnetic field interference.

