From 3f7c820c9e71cda9ed8e25d05de4ed075a0dfca7 Mon Sep 17 00:00:00 2001 From: ismetatabay Date: Mon, 2 Oct 2023 18:55:35 +0300 Subject: [PATCH] init LIO-SAM Signed-off-by: ismetatabay --- .../lio-sam/images/LIO-SAM-output.png | Bin 0 -> 259689 bytes .../lio-sam/images/pcd-map.png | Bin 214982 -> 0 bytes .../open-source-slam/lio-sam/index.md | 198 +++++++++++++++--- 3 files changed, 167 insertions(+), 31 deletions(-) create mode 100644 docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/images/LIO-SAM-output.png delete mode 100644 docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/images/pcd-map.png diff --git a/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/images/LIO-SAM-output.png b/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/images/LIO-SAM-output.png new file mode 100644 index 0000000000000000000000000000000000000000..6c9db62a2ca31ba0fc7ae8d5b997bd4b8b9ab41a GIT 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a/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/index.md b/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/index.md index c8854637498..4b01902d961 100644 --- a/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/index.md +++ b/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/lio-sam/index.md @@ -1,8 +1,8 @@ -# LIO_SAM +# LIO-SAM -## What is LIO_SAM? +## What is LIO-SAM? -- A framework that achieves highly accurate, real-time mobile robot trajectory estimation and map-building. It formulates lidar-inertial odometry atop a factor graph, allowing a multitude of relative and absolute measurements, including loop closures, to be incorporated from different sources as factors into the system +- A framework that achieves highly accurate, real-time mobile robot trajectory estimation and map-building. It formulates lidar-inertial odometry atop a factor graph, allowing a multitude of relative and absolute measurements, including loop closures, to be incorporated from different sources as factors into the system. ## Repository Information @@ -12,64 +12,200 @@ ### Required Sensors -- LIDAR [Livox, Velodyne, Ouster] +- LIDAR [Livox, Velodyne, Ouster, Robosense*] - IMU [9-AXIS] - GPS [OPTIONAL] -

drawing

+\*Robosense lidars aren't supported officially, but their Helios series can be used as Velodyne lidars. + +The system architecture of LIO-SAM method described in the following diagram, +please look at the official repository for getting more information. + +
+ ![lio-sam-architecture](images/system.png){ align=center width="960"} +
+ System Architecture of LIO-SAM +
+
+ +We are using [Robosense Helios 5515](https://www.robosense.ai/en/rslidar/RS-Helios) and [CLAP B7](https://en.unicorecomm.com/assets/upload/file/CLAP-B7_Product_Brief_En.pdf) sensor on tutorial_vehicle, +so we will use these sensors for running LIO-SAM. ### ROS Compatibility -- ROS 1 -- [For ROS 2](https://github.com/TixiaoShan/LIO-SAM/tree/ros2) +Since Autoware uses ROS 2 Humble currently, we will continue with ROS 2 version of LIO-SAM. + +- [ROS](https://github.com/TixiaoShan/LIO-SAM/tree/master) +- [ROS 2](https://github.com/TixiaoShan/LIO-SAM/tree/ros2) (Also, it is compatible with Humble distro) ### Dependencies -- ROS -- PCL -- [GTSAM](https://gtsam.org/get_started/) (Georgia Tech Smoothing and Mapping library) +ROS 2 dependencies: - ```bash - sudo add-apt-repository ppa:borglab/gtsam-release-4.0 - sudo apt install libgtsam-dev libgtsam-unstable-dev - ``` +- [perception-pcl](https://github.com/ros-perception/perception_pcl) +- [pcl-msgs](https://github.com/ros-perception/pcl_msgs/tree/ros2) +- [vision-opencv](https://github.com/ros-perception/vision_opencv/tree/humble) +- [xacro](https://github.com/ros/xacro/tree/ros2) + +To install these dependencies, you can use this bash command in your terminal: + +```bash +sudo apt install ros-humble-perception-pcl \ + ros-humble-pcl-msgs \ + ros-humble-vision-opencv \ + ros-humble-xacro +``` + +Other dependencies: + +- [gtsam](https://gtsam.org/get_started/) (Georgia Tech Smoothing and Mapping library) + +To install the gtsam, you can use this bash command in your terminal: ```bash - sudo apt-get install -y ros-melodic-navigation - sudo apt-get install -y ros-melodic-robot-localization - sudo apt-get install -y ros-melodic-robot-state-publisher + # Add GTSAM-PPA + sudo add-apt-repository ppa:borglab/gtsam-release-4.1 + sudo apt install libgtsam-dev libgtsam-unstable-dev ``` ## Build & Run -### 1) Build +### 1) Installation + +In order to use and build LIO-SAM, we will create workspace for LIO-SAM: ```bash - mkdir -p ~/catkin_lio_sam/src - cd ~/catkin_lio_sam/src - git clone https://github.com/TixiaoShan/LIO-SAM.git + mkdir -p ~/lio-sam-ws/src + cd ~/lio-sam-ws/src + git clone -b ros2 https://github.com/TixiaoShan/LIO-SAM.git cd .. - catkin_make - source devel/setup.bash + colcon build +``` + +### 2) Settings + +After the building of LIO-SAM, +we need to record ROS 2 Bag file with including necessary topics for LIO-SAM. +The necessary topics are described in the [config file](https://github.com/leo-drive/LIO-SAM/blob/4938d3bb4423b76bf5aa22556dd755526b03a253/config/params.yaml#L4-L8) on LIO-SAM. + +??? note "ROS 2 Bag example for LIO-SAM with Robosense Helios and CLAP B7" + + ```sh + Files: map_bag_13_09_0.db3 + Bag size: 38.4 GiB + Storage id: sqlite3 + Duration: 3295.326s + Start: Sep 13 2023 16:40:23.165 (1694612423.165) + End: Sep 13 2023 17:35:18.492 (1694615718.492) + Messages: 1627025 + Topic information: Topic: /sensing/gnss/clap/ros/imu | Type: sensor_msgs/msg/Imu | Count: 329535 | Serialization Format: cdr + Topic: /sensing/gnss/clap/ros/odometry | Type: nav_msgs/msg/Odometry | Count: 329533 | Serialization Format: cdr + Topic: /sensing/lidar/top/pointcloud_raw | Type: sensor_msgs/msg/PointCloud2 | Count: 32953 | Serialization Format: cdr + + ``` + +**Note:** +We use `use_odometry` as true at [clap_b7_driver](https://github.com/Robeff-Technology/clap_b7_driver/tree/dev/autoware) for publishing GPS odometry topic from navsatfix. + +Please set topics and sensor settings on `lio_sam/config/params.yaml`. +Here are some example modifications for out tutorial_vehicle. + +- Topic names: + +```diff +- pointCloudTopic: "/points" ++ pointCloudTopic: "/sensing/lidar/top/pointcloud_raw" +- imuTopic: "/imu/data" ++ imuTopic: "/sensing/gnss/clap/ros/imu" + odomTopic: "odometry/imu" +- gpsTopic: "odometry/gpsz" ++ gpsTopic: "/sensing/gnss/clap/ros/odometry" +``` + +Since we will use GPS information with Autoware, +so we need to enable `useImuHeadingInitialization` parameter. + +- GPS settings: + +```diff +- useImuHeadingInitialization: false ++ useImuHeadingInitialization: true +- useGpsElevation: false ++ useGpsElevation: true +``` + +We will update sensor settings also. +Since Robosense Lidars aren't officially supported, +we will set our 32-channel Robosense Helios 5515 lidar as Velodyne: + +- Sensor settings: + +```diff +- sensor: ouster ++ sensor: velodyne +- N_SCAN: 64 ++ N_SCAN: 32 +- Horizon_SCAN: 512 ++ Horizon_SCAN: 1800 +``` + +After that, +we will update extrinsic transformations between Robosense Lidar and CLAP B7 GNSS/INS (IMU) system. + +- Extrinsic transformation: + +```diff +- extrinsicTrans: [ 0.0, 0.0, 0.0 ] ++ extrinsicTrans: [-0.91, 0.0, -1.71] +- extrinsicRot: [-1.0, 0.0, 0.0, +- 0.0, 1.0, 0.0, +- 0.0, 0.0, -1.0 ] ++ extrinsicRot: [1.0, 0.0, 0.0, ++ 0.0, 1.0, 0.0, ++ 0.0, 0.0, 1.0 ] +- extrinsicRPY: [ 0.0, 1.0, 0.0, +- -1.0, 0.0, 0.0, +- 0.0, 0.0, 1.0 ] ++ extrinsicRPY: [ 1.0, 0.0, 0.0, ++ 0.0, 1.0, 0.0, ++ 0.0, 0.0, 1.0 ] + ``` -### 2) Set parameters +Now, we are ready to create a map for Autoware. -- Set topics and sensor settings on `lio_sam/config/params.yaml` +### 3) Usage -### 3) Run +If you are set configurations and create bag file for LIO-SAM, you can launch LIO-SAM with: ```bash - # Run the Launch File - roslaunch lio_sam run.launch +ros2 launch lio_sam run.launch.py +``` - # Play bag file in the other terminal - rosbag play xxx.bag --clock +The rviz2 screen will be open, then you can play your bag file: + +```bash +ros2 bag play ``` +If the mapping process is finished, you can save map with calling this service: + +```bash +ros2 service call /lio_sam/save_map lio_sam/srv/SaveMap "{resolution: 0.2, destination: }" +``` + +Here is the video for demonstration of LIO-SAM mapping in our campus environment: + +![type:video](https://youtube.com/embed/0EX9U95oecw) + ## Example Result -

drawing

+
+ ![lio-sam-output](images/LIO-SAM-output.png){ align=center width="512"} +
+ Sample Map Output for our Campus Environment +
+
## Paper