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 D435
Object-Detection-and-location-RealsenseD435
Based Work:
SC-LeGO-LOAM
hdl_localization
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 D435
Object-Detection-and-location-RealsenseD435
Based Work:
SC-LeGO-LOAM
hdl_localization
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～