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lidar_slam's Introduction

lidar_SLAM

LIDAR SLAM for Autonomous Vehicles

Building command

catkin_make --only-pkg-with-deps lidar_slam

TO-DO List

  • Kitti dataset preparation
  • Project framework design with ROS
  • Front end lidar odometry with Lidar NDT and voxel filter
  • Front end refactoring
  • Sensors time synchronization algorithm
  • Add point cloud visualizer based on PCL
  • Lidar odometry accuracy evaluation with evo
  • Point cloud distortion correction/motion compensation algorithm
  • Module design and refactoring
    • Data pre-process
    • Front end lidar odometry
    • Back end graph optimization
    • Loop closure
    • Visualization
  • Back end optimization with g2o and Ceres
  • Loop closure
  • Front end extension with A-LOAM
  • Localization with global map
  • IMU state model derivation

Test Environment

  • Ubuntu 18.04
  • ROS Melodic
  • PCL 1.8

G2O Installation

use the zip file in the third_party directory

cd build
cmake ..
make -j8
sudo make install

One error I met while building this project with G2O:

cholmod library not found. It is solved by installing the dependency libsuitesparse-devand re-install the g2o library

sudo apt-get install libsuitesparse-dev

Paper TO-DO List

  1. Robust and Precise Vehicle Localization Based on Multi-Sensor Fusion in Diverse City Scenes
  2. LiDAR Inertial Odometry Aided Robust LiDAR Localization System in Changing City Scenes

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