Update README.md

README.md

@@ -82,52 +82,16 @@ ROS Kinetic or Melodic. [ROS Installation](http://wiki.ros.org/ROS/Installation)
   * ``python2 run_mloam.py -program=single_test -sequence=RHD -start_idx=1 -end_idx=1`` 
     * You will broadcast the RV01.bag to test the M-LOAM system.
 
-<!-- ### 5. Results -->
-<!-- **red**: odometry; **green**: mapping; **blue**: gt -->
-<!-- <a href="https://www.youtube.com/embed/WDpH80nfZes" target="_blank"><img src="http://img.youtube.com/vi/WDpH80nfZes/0.jpg" alt="cla" width="240" height="180" border="10" /></a> -->
-
-<!-- * Test with SR <br>
-![](./picture/sr_trajectory.png)
-
-* Test in HKUST with RHD <br>
-![](./picture/rhd03garden.png)
-![](./picture/rhd04building.png)
-
-* Test with RV <br>
-![](./picture/rv01.png)
-
-* Test with Oxford RoboCar <br>
-![](./picture/oxford_traj.png) -->
-
-<!-- ### 6. Additional Features (have not fixed)
-* Future research
-  1. [on-going] Add a loop closure
-  2. [] Object-centric SLAM
-  3. [] Use more representative features
-  4. [] Integrated with high-frequency sensors
-  5. [] cross-domain, cross-modal dataset (simulator) for autonomous driving -->
-
 <!-- ----------------------------------------------------------- -->
 ### 4. System pipeline
-This could help you to understand the pipeline of M-LOAM. 
+This could help you to understand the pipeline of M-LOAM (loop closure part is not finished). 
 <img src="docs/picture/mloam_pipeline.png" style="zoom:67%;" />
 
 And you can also refer to [M-LOAM's pipeline](docs/mloam-pipeline-chinese.pdf) for a more detailed diagram and code review.
 
-<!-- ----------------------------------------------------------- -->
-<!-- ### 5. Issues
-I have modified the code with several times and tried different new features during the journal review process. The code style is not very perfect. Also in some sequeneces, M-LOAM may not achieve the best performence. Hope you can understand and I will try to fix them. -->
-
-<!-- ----------------------------------------------------------- -->
-<!-- ### 5. TODO
-1. Parameter tunning, and a more detailed tutorial .
-2. **loop closure**.
-3. **Docker** support. The initial Docker file is in the folder: ```docker/Dockerfile```
-4. etc. -->
-
 <!-- ----------------------------------------------------------- -->
 ### 5. Acknowledgements
-Thanks for these great works from which we learned to write M-LOAM
+Thanks for these great works from which we learned to develop M-LOAM
 
 * LOAM (J. Zhang and S. Singh. LOAM: Lidar Odometry and Mapping in Real-time) and its advanced version: [A-LOAM](https://github.com/HKUST-Aerial-Robotics/A-LOAM);
 * [LEGO-LOAM](https://github.com/RobustFieldAutonomyLab/LeGO-LOAM)