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lse's Introduction

LSE

This is the Legged State Estimator (LSE) library. It contains an Observability Constrained Extended Kalman Filter and a routine for time delay calibration between different sensor modalities. The Manager class represents the interface. It handles the different measurements.

INSTALLATION:

  • go to top folder (the folder this file is located in)
  • execute cmake: "cmake ."
  • either simply compile the library: "make", or call the installation: "sudo make install" (this will copy the library and header to your system folder and create a corresponding FindLSE.cmake file)

DEPENDENCIES:

  • Standard library
  • Eigen3
  • Python (2.7)
  • Ceres (1.5.0)
  • The required tinyxml library is provided together with this installation

TODO:

  • Clean up with old filters
  • Clean up quaternion/rotation stuff
  • Clean up time delay stuff

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