fix(index): add description in navigation.yml and index.md

Author: JoshuaTsai0520

_data/navigation.yml

@@ -255,6 +255,8 @@ wiki:
         url: /wiki/state-estimation/gps-lacking-state-estimation-sensors/
       - title: Using g2o for Pose Graph Optimization in C++
         url: /wiki/state-estimation/g2o-pose-graphs/
+      - title: LIO-SAM with Velocity Undistortion & Dynamic Obstacle Filtering
+        url: /wiki/state-estimation/lio-sam-velocity-undistortion-and-dynamic-filtering/
   - title: Programming
     url:  /wiki/programming/
     children:

wiki/state-estimation/index.md

@@ -67,6 +67,12 @@ The "State Estimation" section provides a comprehensive understanding of how to
   - Implementation details for vertices, edges, and solvers.
   - Common applications in robotic perception and mapping.
 
+- **[LIO-SAM with Velocity Undistortion & Dynamic Obstacle Filtering](/wiki/state-estimation/lio-sam-velocity-undistortion-and-dynamic-filtering/)**
+  Provides a practical guide to improving LIO-SAM mapping with velocity-based motion undistortion and post-mapping dynamic obstacle filtering.
+  - Overview of LiDAR motion distortion and its impact on map quality.
+  - Integration of vehicle speed for 6-DOF point cloud undistortion.
+  - Manual dynamic obstacle removal using CloudCompare.
+
 ## Resources
 
 - [AMCL ROS Wiki](http://wiki.ros.org/amcl)
@@ -79,4 +85,5 @@ The "State Estimation" section provides a comprehensive understanding of how to
 - [Radar-Camera Sensor Fusion Overview](https://radar-camera-fusion-tutorial.com)
 - [Costmap2D ROS Package](http://wiki.ros.org/costmap_2d)
 - [Visual Servoing Platform (ViSP)](https://visp.inria.fr/)
-- [Search-Based Planning Lab (SBPL)](http://sbpl.net/)
+- [Search-Based Planning Lab (SBPL)](http://sbpl.net/)
+- [Autoware Distortion Corrector](https://autowarefoundation.github.io/autoware_universe/main/sensing/autoware_pointcloud_preprocessor/docs/distortion-corrector/)