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LiDAR-Inertial Odometry and Mapping using Normal Vectors Towards Robust SLAM in Multifloor Environments

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NV-LIOM

Warning

This is still a beta version of release! A lot of things are happening in my life right now. I just graduated last August, immediately got a job, and there are also some serious matters I have to deal with. My days have been busier than I expected, so I had no time to look into the code. I thought I could no longer delay and have decided to release the original code first. As you will see, the code is not organized at all! I plan to upload usage instructions and sample datasets in the future, and I will also be working on maintaining and refactoring the code little by little. Thank you so much for your interest in my work.

E3 Mapping Result

Description

Code repository of NV-LIOM: LiDAR-Inertial Odometry and Mapping Using Normal Vectors Towards Robust SLAM in Multifloor Environments

Environments

How to use

  • TBD

Build

$ cd <your catkin workspace>/src
$ git clone https://github.com/dhchung/nv_liom
$ cd <your catkin workspace> && catkin_make -DCMAKE_BUILD_TYPE=Release

Mapping Results of Various Types of Buildings

Buildings at KAIST

Public Dataset

Resources

Updates

  • August 20, 2024: The paper is accepted to IEEE Robotics and Automation Letters

Citation

@ARTICLE{10670211,
  author={Chung, Dongha and Kim, Jinwhan},
  journal={IEEE Robotics and Automation Letters}, 
  title={NV-LIOM: LiDAR-Inertial Odometry and Mapping Using Normal Vectors Towards Robust SLAM in Multifloor Environments}, 
  year={2024},
  volume={9},
  number={11},
  pages={9375-9382},
  doi={10.1109/LRA.2024.3457373}}

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LiDAR-Inertial Odometry and Mapping using Normal Vectors Towards Robust SLAM in Multifloor Environments

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