readme

Author: JanuszBedkowski

README.md

@@ -25,7 +25,7 @@ Movie how to use it is available at [prepare training dataset movie](https://you
 
 # DOWNLOAD DEMO FROM THIS LINK -> [DEMO](https://github.com/MapsHD/HDMapping/blob/main/quick_start_demo/quick_start_demo.7z)
 
-If You are looking for end-to-end mobile mapping framework You can start from this project, since we also provide a benchmark for all other approaches: LeGO-LOAM, LOAM, FAST-LIO, LIO-SAM, CT-ICP, DLO, VoxelMap, Faster-LIO, KISS-ICP, SLICT, DLIO, Point-LIO, GLIM, MAD-ICP, iG-LIO, LIO-EKF, I2EKF-LO, GenZ-ICP, RESPLE, 93won/lidar_odometry, KISS-SLAM. We work on integration: mola_lidar_odometry, rko_lio, lio_gvm, sr_lio, Light-LOAM, LIO-SEGMOT, GLIO, floam, A-LOAM, LOG-LIO, LOG-LIO2, VOX-LIO.
+If You are looking for end-to-end mobile mapping framework You can start from this project, since we also provide a benchmark for all other approaches: LeGO-LOAM, LOAM, FAST-LIO, LIO-SAM, CT-ICP, DLO, VoxelMap, Faster-LIO, KISS-ICP, SLICT, DLIO, Point-LIO, GLIM, MAD-ICP, iG-LIO, LIO-EKF, I2EKF-LO, GenZ-ICP, RESPLE, 93won/lidar_odometry, KISS-SLAM, Super-LIO, SuperOdometry, mola_lidar_odometry. We work on integration: rko_lio, lio_gvm, sr_lio, Light-LOAM, LIO-SEGMOT, GLIO, floam, A-LOAM, LOG-LIO, LOG-LIO2, VOX-LIO.
 **Our goal is to find/develop/discover best end-to-end mobile mapping framework.**
 
 ## Quick Start (Ubuntu / Ubuntu 24.04 @ WSL2)