Hi,
As per my understanding you want to know about the tuning of nonholonomic filter parameters in the context of IMU data and path reconstruction.
Please refer to the following tutorial from MathWorks which provides an overview of how to design and simulate the "Inertial Navigation Systems" (INS) in MATLAB, including the role of filters in integrating the sensor data.
The following documentation is an example that walks through the process of determining an object's "position" and "orientation" using a combination of inertial sensors and GPS.
The following documentation provides an overview of multi-sensor positioning techniques in MATLAB, offering insights into how different sensors, including IMUs and GPS, can be combined to achieve accurate positioning.
Please refer to the following MATLAB functions for further understanding:
"insfilter": https://in.mathworks.com/help/nav/ref/insfilter.html
"insfilterNonholonomic": https://in.mathworks.com/help/nav/ref/insfilternonholonomic.html
Hope this helps!
