Parameters for evaluation included in the readme

Author: MunozBanon

Diff for: README.md

@@ -4,7 +4,9 @@ This repository contains scripts that are used to evaluate localisation, 3D reco
 This is a pre-release of the software. The codebase will be refactored in the near future. Please feel free to ask questions about the dataset and report bugs in the Github Issues.
 
 ## Localisation Benchmark
-The localisation benchmark runs LiDAR SLAM methods ([Fast-LIO-SLAM](https://github.com/gisbi-kim/FAST_LIO_SLAM), [SC-LIO-SAM](https://github.com/gisbi-kim/SC-LIO-SAM), [ImMesh](https://github.com/ori-drs/ImMesh_hesai)) and LiDAR Bundle Adjustment method ([HBA](https://github.com/hku-mars/HBA)). The resultant trajectory are evaluated against the ground truth trajectory using [evo](https://github.com/MichaelGrupp/evo).
+The localisation benchmark runs LiDAR SLAM methods (and also LIVO): ([Fast-LIO-SLAM](https://github.com/ori-drs/FAST_LIO_SLAM), [SC-LIO-SAM](https://github.com/ori-drs/SC-LIO-SAM), [ImMesh](https://github.com/ori-drs/ImMesh_hesai)), [Fast-LIVO2](https://github.com/ori-drs/FAST-LIVO2). And LiDAR Bundle Adjustment method: ([HBA](https://github.com/ori-drs/HBA)). The resultant trajectory are evaluated against the ground truth trajectory using [evo](https://github.com/MichaelGrupp/evo).
+
+Each link provided for the methods above is a fork containing a branch `config-used-OSD` with the configurations used for the evaluation.
 
 Build the docker container and run the methods:
 ```bash