运行cartographer进行建图

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最新推荐文章于 2025-06-19 10:03:01 发布

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分类专栏： slam 文章标签： cartographer 激光slam 建图

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本文介绍如何使用RPLIDAR与Cartographer构建机器人二维地图。首先通过配置launch文件和lua参数文件启动Cartographer，然后运行RPLIDAR节点与Cartographer节点，最后保存并转换地图文件为图片。

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运行cartographer进行建图

运行条件：已通过其他节点发布机器人的base_link，且有激光发布节点，否则cartographer无法运行。

1.使用rplidar运行cartographer

修改cartographer_ros/cartographer_ros/launch/demo_revo_lds.launch(也可以自己创建一个)

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

  <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>

修改cartographer_ros/cartographer_ros–configuration_files–revo_lds.lua（也可自己创建）

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

options = {
  map_builder = MAP_BUILDER,
  trajectory_builder = TRAJECTORY_BUILDER,
  map_frame = "map",
  tracking_frame = "base_link",
  published_frame = "base_link",
  odom_frame = "odom",
  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

最后命令行中运行rplidar的Node和launch文件

roslaunch rplidar_ros rplidar.launch

新终端输入

roslaunch cartographer_ros demo_revo_lds.launch

2.生成离线地图

rosservice call /write_state /home/ybg/Desktop/carto_map.pbstream

将生成的pbstream文件转为图片，利用cartographer_pbstream_to_ros_map节点：

先运行roscore，再运行

rosrun cartographer_ros cartographer_pbstream_to_ros_map -map_filestem=/home/ybg/Desktop/ros_map -pbstream_filename=/home/ybg/Desktop/carto_map.pbstream -resolution=0.05

即可完成建图。