# lidar_gnss_mapping **Repository Path**: hyyrobot/lidar_gnss_mapping ## Basic Information - **Project Name**: lidar_gnss_mapping - **Description**: No description available - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-02-19 - **Last Updated**: 2021-02-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # LiDAR GNSS mapping ## Framework ![image](https://github.com/ZhuangYanDLUT/lidar_gnss_mapping/blob/master/lidar_gnss_mapping/imgs/framework.png) The overall system framework for large-scale 3D map building in partially GNSS-denied scenes, which consists of two operating modes: `LiDAR-only mode` and `GNSS-LiDAR mode`. While working in GNSS-denied scenes, LiDAR odometry runs with high frequency and outputs estimations with local registration errors, and LiDAR mapping provides more accurate pose estimations with low frequency. While moving from GNSS-denied scenes to open scenes, 3D-M-Box is working in `GNSS-LiDAR mode`. The auto coordinate alignment algorithm is applied to align the coordinate system between LiDAR and GNSS by registering a group of poses obtained from LiDAR mapping and GNSS within a certain time window. Finally, GNSS-constrained LiDAR mapping outputs the pose and point clouds with high accuracy. ## Sample map ![image](https://github.com/ZhuangYanDLUT/lidar_gnss_mapping/blob/master/lidar_gnss_mapping/imgs/Campus3.png) The picture shows that 3D-M-Box can accomplish online pose estimation and map building in GNSS-denied scenes. ## Dependency **ROS** (tested with kinetic) **gtsam** (Georgia Tech Smoothing and Mapping library, 4.0.0-alpha2) ``` wget -O ~/Downloads/gtsam.zip https://github.com/borglab/gtsam/archive/4.0.0-alpha2.zip cd ~/Downloads/ && unzip gtsam.zip -d ~/Downloads/ mkdir build && cd build cmake .. sudo make install ``` ## How to build with catkin ``` cd ~/catkin_ws/src git clone https://github.com/ZhuangYanDLUT/lidar_gnss_mapping.git cd ~/catkin_ws catkin_make ``` ## Running `roslaunch lidar_gnss_mapping lidar_gnss_mapping.launch` In second terminal play sample data from [test.bag](https://pan.baidu.com/s/1KUwSCFyufw5symvmWUorYA) (the access code is `ri4b`) `rosbag play -s 35 test.bag`