Questions tagged [imu]
An Inertial Measurement Unit (IMU) is an electronic device that measures and reports acceleration, orientation, angular rates, etc.
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Line sensor data generating data array
I have a line sensor with a $n$ number of detector elements, pixels.
This line sensor should be used to capture data while moving so that later from the captured data images can be generated. The ...
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Gyroscope Error Propagation: Why not use Euler Angles?
Looking at the EKF formulation for Gyroscopes in more depth I'm wondering, why can't we use Euler Angles in the Error State EKF framework for error and covariance propagation instead of Quaternions? ...
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Confusion on Error State Kalman Filter reset
I have been reading about kalman filters for IMU and I am confused on the error state formulation.
Reading this paper, starting on page 63 and going onto 64 the paper addresses the reset of the error ...
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Finite Difference Estimation for error propagation
For a complex system where symbolic computation of the jacobian is challenging, is estimating the jacobian via finite difference a viable option?
To be explicit I'm mostly interested in playing around ...
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Getting position data from 9-axis IMU
I want to track the movement of a person in a 2D plane using a 9-axis IMU. The size of the plane in which the movement is not bigger than 6 by 6 meter.
The IMU is mounted on the head of the person and ...
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How does velocity get computed in EKF INS systems?
In GPS IMU nav systems Velocity and angular position are not explicitly measured states yet at each timestep it's necessary in order to integrate IMU information.
I'm curious how is this dealt with?
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Kalman Filter with IMU to estimate position
I'm starting with KF and working with a IMU to estimate position. I'm defining my model and so many questions come to my mind when I have to define the process noise matrix (Q) and the measurement ...
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Why couldn't I reapply a LPF to remove more noise?
I have a piece of raw accelerometer data consisted of 10,000 samples to be processed offline. Since the movement or rotation of the object is moderately slow and smooth, I would think that I can ...
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IMU state estimation Covariance updating
EKF filter normally has a predict + update step, I am curious - how do you evolve the covariance of the state without one of the steps?
In essence I want to evolve the state of an object using an IMU ...
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Best signal processing method for recognising changes in accelerometer results?
I am new to signal processing and trying to build a gadget that hits an object and recognizes fractures and weaknesses in it using an accelerometer attached to a hammer. I have some initial results ...
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