Skip to content

Gyudori/A-LOAM

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

49 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

A-LOAM

Advanced implementation of LOAM

A-LOAM is an Advanced implementation of LOAM (J. Zhang and S. Singh. LOAM: Lidar Odometry and Mapping in Real-time), which uses Eigen and Ceres to Solver to simplify code structure. This code is modified from LOAM_NOTED.

Authors: Tong Qin, Shaozu Cao, and Shaojie Shen from the Aerial Robotics Group, HKUST

1. Prerequisites

1.1 Ubuntu and ROS

Ubuntu 64-bit 16.04 or 18.04. ROS Kinetic or Melodic. ROS Installation

1.2. Ceres Solver

Follow Ceres Installation.

1.3. PCL

Follow PCL Installation.

2. Build A-LOAM

Clone the repository and catkin_make:

    cd ~/catkin_ws/src
    git clone https://github.com/HKUST-Aerial-Robotics/A-LOAM.git
    cd ../
    catkin_make
    source ~/catkin_ws/devel/setup.bash

3. Velodyne VLP-16 Example

Download NSH indoor outdoor to YOUR_DATASET_FOLDER.

    roslaunch loam_velodyne loam_velodyne_16.launch
    rosbag play YOUR_DATASET_FOLDER/nsh_indoor_outdoor.bag

4. KITTI Example (Velodyne HDL-64)

Download KITTI Odometry dataset to YOUR_DATASET_FOLDER and set the dataset_folder and sequence_number parameters in kitti_helper.launch file. Note you also convert KITTI dataset to bag file for easy use by setting proper parameters in kitti_helper.launch.

    roslaunch loam_velodyne loam_velodyne_64.launch
    roslaunch loam_velodyne kitti_helper.launch

About

Advanced implementation of LOAM

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • C++ 92.9%
  • C 2.3%
  • Shell 1.8%
  • Dockerfile 1.6%
  • CMake 1.1%
  • Makefile 0.3%