8000 GitHub - Eliaul/Eq-LIO: A tightly coupled LIO framework based on the equivariant filter.
[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to content

Eliaul/Eq-LIO

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Eq-LIO

Equivariant Filter Implementation of S-FAST_LIO

alt text

Eq-LIO is a tightly coupled LIO framework based on the equivariant filter and our code is implemented on S-FAST_LIO.

1. Prerequisites

1.1 Ubuntu and ROS

Ubuntu >= 16.04.

1.2. PCL && Eigen

PCL >= 1.8, Eigen >= 3.3.4.

1.3. livox_ros_driver

Follow livox_ros_driver Installation.

Source:Add the line source $Licox_ros_driver_dir$/devel/setup.bash to the end of file ~/.bashrc, where $Licox_ros_driver_dir$ is the directory of the livox ros driver workspace (should be the ws_livox directory if you completely followed the livox official document).

1.4. Sophus

We use the old version of Sophus

git clone https://github.com/strasdat/Sophus.git
cd Sophus
git checkout a621ff
mkdir build
cd build
cmake ../ -DUSE_BASIC_LOGGING=ON
make
sudo make install

2. Build Eq-LIO

Clone the repository and catkin_make:

cd ~/catkin_ws/src
git clone https://github.com/Eliaul/Eq-LIO.git
cd ../
catkin_make
source ~/catkin_ws/devel/setup.bash

3. Rosbag Example

You can use the Avia Rosbags provided by FAST-LIO.

Run:

roslaunch eq-lio mapping_avia.launch
rosbag play YOUR_DOWNLOADED.bag

4. Acknowledgements

Thanks for the authors of FAST-LIO and S-FAST-LIO.

5. References

[1] van Goor, Pieter, Tarek Hamel, and Robert Mahony. "Equivariant filter (eqf)." IEEE Transactions on Automatic Control (2022).

[2] Fornasier, Alessandro, et al. "Equivariant filter design for inertial navigation systems with input measurement biases." 2022 International Conference on Robotics and Automation (ICRA). IEEE, 2022.

6. BibTeX

If this work is helpful for your research, please consider citing:

@article{tao2024eqlio,
  title={Equivariant Filter for Tightly Coupled LiDAR-Inertial Odometry},
  author={Anbo Tao, Yarong Luo, Chunxi Xia, Chi Guo and Xingxing Li},
  journal={arXiv preprint arXiv:2409.06948},
  year={2024}
}

About

A tightly coupled LIO framework based on the equivariant filter.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published
0