With the help of SLAM, offline map positioning, and 2Dto3D target detection, a preliminary autonomous mobile robot environment perception system is completed
Autonomous-mobile-robot
IMU Xsens MTi-G700
Robosense lidar-16
Realsense D455
ASTRA
Object-Detection-and-location-RealsenseD435
Based Work:
SC-LeGO-LOAM
hdl_localization
Detect3D
The example of Object Detection By ROS:
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
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
平面移动机器人
IMU Xsens MTi-G700
16线激光雷达（Robosense lidar-16）
深度相机 Realsense D455 奥比中光ASTRA
Object-Detection-and-location-RealsenseD435
Based Work:
SC-LeGO-LOAM
hdl_localization
2d-3d 目标检测基于聚类 更新
Detect3D
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；