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The point of a complementary filter is combine the low-pass parts of some measurements (e.g. accelerometer) with the high-pass parts of other measurements (e.g. gyro). If the accelerometer perfectly reflected the direction of gravity you wouldn't need the gyroscope part. So practical applications that successfully use complementary filters with an ...


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As Ben noticed, you may want to elaborate on your question, but in general data collection in ROS is performed using tools from the rosbag package. As you'll find when you read the documentation, data (either from a simulation or the real world) can be recorded during a session, but not after it has already finished. Recorded data can be replayed or ...


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First you have to understand that Gyroscope gives angular rates around X,Y,Z axes and Accelerometer gives linear accelerations in X,Y,Z directions. Neither of them gives Roll, Pitch and Yaw values. But you can calculate Roll and Pitch values using the Accelerometer readings. For your question, in order to calculate the quaternion you need to have a 9 DoF ...


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