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Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

License: Other

Shell 0.48% C++ 87.91% Python 3.49% Cuda 5.30% CMake 2.82%

gf_orb_slam2's Introduction

菜鸡SLAMer

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👋 关于我 | About Zeshi Lin

  • A SLAMer who loves programming and robotics. & Open Source enthusiast.
  • 🌱 Currently working in Guangzhou, China.
  • 💬 Cheat me about SLAM and my projects on [email protected]
  • ⚡ Fun fact: Algorhythms related with perception.

🛠 技术栈 | Tech Stack

  • 💻   C++ Python Linux CMake
  • 🔧   ROS OpenCV G2O GTSAM
  • 🛢   Git GitHub Markdown

⭐️ 开源项目 | Open Source Projects

Readme Card Readme Card Readme Card

  • ONNX-CPP-RUNNER:Based on ONNX API and LightGlue, a C++ inference deployment project for SuperPoint and LightGlue.
  • super-vio:Front-end of this vio algorithm is based on SuperPoint and LightGlue. Backend is based on GTSAM, IMU preintegration is also implementing with GTSAM.
  • lk-vio:Front-end of this vio algorithm is based on ORB dand LK Optical Flow. Backend is based on g20.

📹 项目效果 | Project Demo

  • 基于LIO-SAM的高动态场景SLAM,添加了重力因子和iVoX数据结构的支持。视频为在水上行驶的建图过程。 Video on Bilibili

📝 最近动态 | Recent Updates

  • Implmenting the super-vio project.
  • Reconstructing the lk-vio project with ROS to visualize the results. Integrating with g2o for IMU preintegration.

📫 工作历史 | Work Experience

  • 基于ORB-SLAM3的VR定位算法,前端匹配改为用光流法,提高算法在移动端的实时性。
  • 基于Cartographer的2D激光SLAM算法,剔除ROS依赖,改用共享内存通信;修改IMU数据的利用方式,改为IMU预积分,提高算法鲁棒性。
  • 基于LIO-SAM的3D激光SLAM算法,添加了重力因子和iVoX数据结构的支持,提高算法在高动态场景下的鲁棒性以及降低计算量。
  • 基于3D激光点云的水面点云分割
  • 基于PP-PicoDet检测移动库位以及PP-TinyPose检测关键点的定位算法,为机器在入库阶段提供更精准的定位。
  • 无人采水船的整体算法代码架构,主要负责基于摄像头的目标检测和深度估计,基于毫秒波雷达以及超声波的障碍物感知,以及栅格地图的更新。

gf_orb_slam2's People

Contributors

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