diff --git a/README.md b/README.md
index e26fcb4..e7ddeed 100644
--- a/README.md
+++ b/README.md
@@ -95,5 +95,10 @@ roslaunch fast_lio mapping_avia_outdoor.launch
 rosbag play YOUR_DOWNLOADED.bag
 ```
 
-## 5.Acknowledgments
+## 5.Implementation on UAV
+In order to validate the robustness and computational efficiency of FAST-LIO in actual mobile robots, we build a small-scale quadrotor which can carry a Livox Avia LiDAR with 70 degree FoV and a DJI Manifold 2-C onboard computer with a 1.8 GHz Intel i7-8550U CPU and 8 G RAM, as shown in below.
+
+<div align="center"><img src="doc/uav_ground.pdf" width=100% /></div>
+
+## 6.Acknowledgments
 Thanks for LOAM(J. Zhang and S. Singh. LOAM: Lidar Odometry and Mapping in Real-time), [Livox_Mapping](https://github.com/Livox-SDK/livox_mapping) and [Loam_Livox](https://github.com/hku-mars/loam_livox).