LVI-SAM-fixed

Run on ubuntu 20.04 + noetic

1. ThirdParties

• gtsam : 4.1rc

• Eigen : 3.3.7

• gflags : 2.2.2

• Ceres : 1.14.0

• Boost : 1.71.0

2. Install ros pkgs

sudo apt-get install -y ros-noetic-navigation ros-noetic-robot-localization ros-noetic-robot-state-publisher

LVI-SAM

This repository contains code for a lidar-visual-inertial odometry and mapping system, which combines the advantages of LIO-SAM and Vins-Mono at a system level.

---

Dependency

• ROS (Tested with kinetic and melodic)
• gtsam (Georgia Tech Smoothing and Mapping library)

  wget -O ~/Downloads/gtsam.zip https://github.com/borglab/gtsam/archive/4.0.2.zip
  cd ~/Downloads/ && unzip gtsam.zip -d ~/Downloads/
  cd ~/Downloads/gtsam-4.0.2/
  mkdir build && cd build
  cmake -DGTSAM_BUILD_WITH_MARCH_NATIVE=OFF ..
  sudo make install -j4
  

• Ceres (C++ library for modeling and solving large, complicated optimization problems)

  sudo apt-get install -y libgoogle-glog-dev
  sudo apt-get install -y libatlas-base-dev
  wget -O ~/Downloads/ceres.zip https://github.com/ceres-solver/ceres-solver/archive/1.14.0.zip
  cd ~/Downloads/ && unzip ceres.zip -d ~/Downloads/
  cd ~/Downloads/ceres-solver-1.14.0
  mkdir ceres-bin && cd ceres-bin
  cmake ..
  sudo make install -j4
  

---

Compile

You can use the following commands to download and compile the package.

cd ~/catkin_ws/src
git clone https://github.com/TixiaoShan/LVI-SAM.git
cd ..
catkin_make

---

Datasets

The datasets used in the paper can be downloaded from Google Drive. The data-gathering sensor suite includes: Velodyne VLP-16 lidar, FLIR BFS-U3-04S2M-CS camera, MicroStrain 3DM-GX5-25 IMU, and Reach RS+ GPS.

https://drive.google.com/drive/folders/1q2NZnsgNmezFemoxhHnrDnp1JV_bqrgV?usp=sharing

Note that the images in the provided bag files are in compressed format. So a decompression command is added at the last line of launch/module_sam.launch. If your own bag records the raw image data, please comment this line out.

---

Run the package

1. Configure parameters:

Configure sensor parameters in the .yaml files in the ```config``` folder.

2. Run the launch file:

roslaunch lvi_sam run.launch

3. Play existing bag files:

rosbag play handheld.bag 

mp4 to gif

ffmpeg \
-i simplescreenrecorder-2021-04-29_23.21.12_MOTION.mp4 \
-r 30 \
-vf "scale=512:-1,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse" \
-ss 00:00:00 -to 00:01:00 \
LVI_SAM.gif

---

Paper

Thank you for citing our paper if you use any of this code or datasets.

@inproceedings{lvisam2021shan,
  title={LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping},
  author={Shan, Tixiao and Englot, Brendan and Ratti, Carlo and Rus Daniela},
  booktitle={IEEE International Conference on Robotics and Automation (ICRA)},
  pages={to-be-added},
  year={2021},
  organization={IEEE}
}

---

Acknowledgement

• The visual-inertial odometry module is adapted from Vins-Mono.
• The lidar-inertial odometry module is adapted from LIO-SAM.