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NeRF-Based-SLAM-Incredible-Insights

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Project Overview

Welcome to the "NeRF-Based-SLAM-Incredible-Insights" repository. This project aims to provide comprehensive insights into various NeRF (Neural Radiance Fields) based Slam (Simultaneous Localization and Mapping) algorithms. If you're enthusiastic about NeRF-based Slam algorithms and wish to delve deep into their functionality and codebase, you're in the right place.

If you find this repository useful, please consider CITING and STARING this project. Feel free to share this project with others!

Contents

This repository encompasses:

  1. Detailed documentation on a variety of NeRF-based Slam algorithms, elucidating their fundamental principles and algorithmic workflows, such as every [Paper Insights] and [Code Notes] and [Tracking Insights] in Visual SLAM Insights and Lidar SLAM Insights.
  2. Code annotations for selected NeRF-based Slam algorithms to facilitate comprehension of their code implementation, such as Co-SLAM_Scene_Representation_Noted and Co-SLAM_Tracking_Noted.
  3. More analysis videos links are displayed below in video link.

Visual SLAM Insights

Lidar SLAM Insights

Video Link

zsxq members have video viewing rights

zsxq

Acknowledgments

This project comes from the "Nerf Based SLAM Algorithm Learning Group" of CVLIFE. The contributing members include (in no particular order):

Tian Yubo, Liu Quanxiang, Shi Hui, Wang Shouan, Wan Jingyi, Zhong Zhide, Xu Yang, Zhang Yi, Chen Andong, Xia Ningning

Citation

@misc{electron2023nerfbasedslamincredibleinsights,
    title = {NeRF-Based-SLAM-Incredible-Insights},
    author = {electron6,shuttworth},
    journal = {GitHub repository},
    url = {https://github.com/electech6/NeRF-Based-SLAM-Incredible-Insights},
    year = {2023}
}

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  • Python 71.9%
  • HTML 26.2%
  • Jupyter Notebook 1.6%
  • Shell 0.3%