RFS-SLAM C++ Library v1.1

• RB-PHD SLAM algorithm updates:
  • included multi-feature particle importance weighting strategy
  • included single-cluster (SC)-PHD SLAM weighting strategy
  • new FastSLAM and MH-FastSLAM algorithms included
  • updated 2-D simulations
  • new Optimal Sub-Pattern Assignment (OSPA) error metric class
  • visualization tools are now in Python instead of Matlab
  • introduced namespace rfs to the library
  • some updates made to naming convention of classes in the library
  • cmake now generates rfsslam-config.cmake to enable find(rfsslam)
    from other projects