思岚激光雷达+cartographer建图

原创已于 2024-04-18 21:06:44 修改 · 6.2k 阅读

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于 2022-01-07 12:13:46 首次发布

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本文详细介绍了在Ubuntu 18.04环境下，如何安装思岚ROS包，调整rplidar参数，部署Cartographer，并使用A2激光雷达数据进行2D建图的过程。通过修改配置文件和launch文件，展示了从克隆源码到实际运行的完整步骤。

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系统环境：

Ubuntu18.04

ROS Melodic

gcc 7.5.0

1.安装思岚ROS包

1.1 clone并编译

cd catkin_ws/src/
git clone https://github.com/Slamtec/rplidar_ros.git
cd ..
catkin_make

1.2 修改rplidar_ros/launch/rplidar.launch中的波特率

1.3 试一下效果

source devel/setup.bash
roslaunch rplidar_ros view_rplidar.launch

效果如图

2.部署cartographer

参考官方文档

sudo apt-get update
sudo apt-get install -y python3-wstool python3-rosdep ninja-build stow

# 此处为cartographer新建了一个ws
mkdir carto_ws
cd carto_ws
wstool init src
wstool merge -t src https://raw.githubusercontent.com/cartographer-project/cartographer_ros/master/cartographer_ros.rosinstall
wstool update -t src

# 安装依赖
# 如果安装ROS的时候执行过'sudo rosdep init'，那么这里会报错，报错可以忽略
sudo rosdep init
rosdep update
rosdep install --from-paths src --ignore-src --rosdistro=${ROS_DISTRO} -y

# 安装abseil-cpp library
src/cartographer/scripts/install_abseil.sh

# 编译并安装
catkin_make_isolated --install --use-ninja

试一下官方给的demo

wget -P ~/Downloads https://storage.googleapis.com/cartographer-public-data/bags/backpack_2d/cartographer_paper_deutsches_museum.bag
source install_isolated/setup.bash
roslaunch cartographer_ros demo_backpack_2d.launch bag_filename:=${HOME}/Downloads/cartographer_paper_deutsches_museum.bag

这里是2D的bag，3D的文件太大，故没有下载

如果成功了则可进行下一步

3.使用自己的激光雷达数据

3.1 修改revo_lds.lua

gedit carto_ws/src/cartographer_ros/cartographer_ros/configuration_files/revo_lds.lua

我的lua如下：

include "map_builder.lua"
include "trajectory_builder.lua"

options = {
map_builder = MAP_BUILDER,
trajectory_builder = TRAJECTORY_BUILDER,
map_frame = "map",
tracking_frame = "laser",
published_frame = "laser",
odom_frame = "base_link",
provide_odom_frame = true,
publish_frame_projected_to_2d = false,
use_pose_extrapolator = true,
use_odometry = false,
use_nav_sat = false,
use_landmarks = false,
num_laser_scans = 1,
num_multi_echo_laser_scans = 0,
num_subdivisions_per_laser_scan = 1,
num_point_clouds = 0,
lookup_transform_timeout_sec = 0.2,
submap_publish_period_sec = 0.3,
pose_publish_period_sec = 5e-3,
trajectory_publish_period_sec = 30e-3,
rangefinder_sampling_ratio = 1.,
odometry_sampling_ratio = 1.,
fixed_frame_pose_sampling_ratio = 1.,
imu_sampling_ratio = 1.,
landmarks_sampling_ratio = 1.,
}

MAP_BUILDER.use_trajectory_builder_2d = true

TRAJECTORY_BUILDER_2D.submaps.num_range_data = 35
TRAJECTORY_BUILDER_2D.min_range = 0.3
TRAJECTORY_BUILDER_2D.max_range = 8.
TRAJECTORY_BUILDER_2D.missing_data_ray_length = 1.
TRAJECTORY_BUILDER_2D.use_imu_data = false
TRAJECTORY_BUILDER_2D.use_online_correlative_scan_matching = true
TRAJECTORY_BUILDER_2D.real_time_correlative_scan_matcher.linear_search_window = 0.1
TRAJECTORY_BUILDER_2D.real_time_correlative_scan_matcher.translation_delta_cost_weight = 10.
TRAJECTORY_BUILDER_2D.real_time_correlative_scan_matcher.rotation_delta_cost_weight = 1e-1

POSE_GRAPH.optimization_problem.huber_scale = 1e2
POSE_GRAPH.optimize_every_n_nodes = 35
POSE_GRAPH.constraint_builder.min_score = 0.65

return options

3.2 修改demo_revo_lds.launch

gedit carto_ws/src/cartographer_ros/cartographer_ros/launch/demo_revo_lds.launch

我的launch如下：

<launch>
<param name="/use_sim_time" value="false" />

<node name="cartographer_node" pkg="cartographer_ros"
      type="cartographer_node" args="
          -configuration_directory $(find cartographer_ros)/configuration_files
          -configuration_basename revo_lds.lua"
      output="screen">
    <remap from="scan" to="scan" />
</node>

<node name="cartographer_occupancy_grid_node" pkg="cartographer_ros"
      type="cartographer_occupancy_grid_node" args="-resolution 0.05" />

<node name="rviz" pkg="rviz" type="rviz" required="true"
      args="-d $(find cartographer_ros)/configuration_files/demo_2d.rviz" />
</launch>

3.3 再次编译

cd carto_ws
catkin_make_isolated --install --use-ninja

4.试一下效果

roslaunch rplidar_ros rplidar.launch
roslaunch cartographer_ros demo_revo_lds.launch

如果找不到包，记得source setup.bash

效果如下

5.参考文章

Cartographer ROS Integration — Cartographer ROS documentation

使用思岚A2激光雷达结合cartographer建图算法手持建图_这个昵称已已已存在的博客-优快云博客_cartographer手持建图