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KafuuChikai · Dec 2, 2024 · 447dfaa · 447dfaa
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diff --git a/README.md b/README.md
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 # Run-TOGT-Planner
 
+<table>
+  <tr>
+    <td style="width:50%;"><img src="docs/cover/example_3d.png" alt="example_3d" style="width:100%;"/></td>
+    <td style="width:50%;"><img src="docs/cover/race_uzh_19wp_3d.png" alt="race_uzh_19wp_3d" style="width:100%;"/></td>
+  </tr>
+</table>
+
 This Python package provides an interface to run the [**Time-Optimal Gate-Traversing (TOGT) Planner**](https://github.com/FSC-Lab/TOGT-Planner), originally a C++ project.
 
 With this package, you can generate random racetracks and plan paths using the **TOGT Planner**. It supports looping to generate a large number of high-quality trajectories that prioritize dynamic feasibility.
@@ -131,6 +138,17 @@ The random trajectory examples:
   </tr>
 </table>
 
+### 3. 3D trajectories with Tube
+
+**Update**: Plot 3D trajectories and visulize with Tube.
+
+<table>
+  <tr>
+    <td style="width:50%;"><img src="docs/3d_tube/random_example_2d.png" alt="random_example_2d" style="width:100%;"/></td>
+    <td style="width:50%;"><img src="docs/3d_tube/random_example_3d.png" alt="random_example_3d" style="width:70%;"/></td>
+  </tr>
+</table>
+
 ## Tools
 
 1. [RaceGenerator](docs/utils_manual.md#L3)

diff --git a/docs/3d_tube/random_example_2d.png b/docs/3d_tube/random_example_2d.png
diff --git a/docs/3d_tube/random_example_3d.png b/docs/3d_tube/random_example_3d.png
diff --git a/docs/cover/example_3d.png b/docs/cover/example_3d.png
diff --git a/docs/cover/race_uzh_19wp_3d.png b/docs/cover/race_uzh_19wp_3d.png