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docs/examples/ekf/index.md

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+# Extended Kalman Filter (EKF) Examples - Overview
+
 The following examples demonstrate the usage of the MILUV dataset with the Extended Kalman Filter (EKF) for state estimation. We show EKF examples that use IMU for state propagation and UWB for state correction in single- and multi-robot scenarios. We also show EKF examples that use Visual-Inertial Navigation System (VINS) output for state propagation in a loosely-coupled manner, alongside UWB for state correction in single- and multi-robot scenarios.
 
 The goal of these examples is to demonstrate how to use the MILUV dataset, and to provide a starting point for users to develop their own localization algorithms. The focus is not on the EKF implementation itself, and as such we split the examples into two parts: a main script for every example that loads the data and runs the EKF, and a corresponding utility script that contains the EKF model and other utilities. The files are organized as follows: