update readme

README.md

@@ -4,39 +4,45 @@ With the help of SLAM, offline map positioning, and 2Dto3D target detection, a p
 Autonomous-mobile-robot  
 IMU Xsens MTi-G700   
 [Robosense lidar-16 ](https://github.com/RoboSense-LiDAR/rs_driver)   
-Realsense D435  
+Realsense D455 
+ASTRA
 ## Related work
 [Object-Detection-and-location-RealsenseD435
 ](https://github.com/Mazhichaoruya/Object-Detection-and-location-RealsenseD435)  
 Based Work:  
 [SC-LeGO-LOAM](https://github.com/irapkaist/SC-LeGO-LOAM)  
-[hdl_localization](https://github.com/koide3/hdl_localization)  
+[hdl_localization](https://github.com/koide3/hdl_localization)
+[Detect3D](https://github.com/Mazhichaoruya/Detect3D-Lidar-DepthCamera)
 ## Video  
 
 [![Watch the video](https://github.com/Mazhichaoruya/Perception-of-Autonomous-mobile-robot/blob/master/image/image.png)](https://www.youtube.com/watch?v=VE7d3ZQzOLY&t=19s)
+[![Watch the video](https://github.com/Mazhichaoruya/Perception-of-Autonomous-mobile-robot/blob/master/image/image.png)](https://www.bilibili.com/video/BV1QK4y1V7fy)
 
 The example of Object Detection By ROS:  
 ![Example1](https://github.com/Mazhichaoruya/ROS-Object-Detection-2Dto3D-RealsenseD435/blob/master/gif/realsense_1.gif)
 ## Next
 The ROS and SLAM version had been uploaded,But it is just a Beginning,I will do more jod form my Graduation Project。
 There will be more work to be done afterwards, the perception of outdoor robots and even quadruped robots. There will also be new algorithms that need to be updated, new sensors。
-if you were Interested in this, welcome to follow me！
+if you were Interested in this, welcome to follow me
 
 # 自主移动机器人环境感知
 借助SLAM、离线地图定位、2Dto3D的目标检测 完成一个初步的自主移动机器人环境感知系统
 ## 设备
 平面移动机器人  
 IMU Xsens MTi-G700 
 16线激光雷达（[Robosense lidar-16](https://github.com/RoboSense-LiDAR/rs_driver)）  
-深度相机 Realsense D435
+深度相机 Realsense D455 奥比中光ASTRA
 
 ## 相关工作
 [Object-Detection-and-location-RealsenseD435
 ](https://github.com/Mazhichaoruya/Object-Detection-and-location-RealsenseD435)  
 Based Work:  
 [SC-LeGO-LOAM](https://github.com/irapkaist/SC-LeGO-LOAM)  
 [hdl_localization](https://github.com/koide3/hdl_localization)  
+2d-3d 目标检测基于聚类 更新
+[Detect3D](https://github.com/Mazhichaoruya/Detect3D-Lidar-DepthCamera)
 ## 视频
 [![Watch the video](https://github.com/Mazhichaoruya/Perception-of-Autonomous-mobile-robot/blob/master/image/image.png)](https://www.bilibili.com/video/BV1ND4y1d758)
-## 预告
-这是一个初步的移动机器人环境感知，至此是完成一些为毕业设计开题的准备工作，接下来会有更多的任务和算法需要研究，预计10月底会有更新尝试新的算法、新的机器人、新的传感器以适应户外环境。甚至数月后会有四足机器人的感知系统更新，如果你对此感兴趣，欢迎订阅～
+[![Watch the video](https://github.com/Mazhichaoruya/Perception-of-Autonomous-mobile-robot/blob/master/image/image.png)](https://www.bilibili.com/video/BV1QK4y1V7fy)
+## 更新
+2D-3D目标检测部分更新为基于半监督聚类增强的Yolov5 TensorRT框架；