cartographer建图（1），普通建图和小车提供的odom建图

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我是靠谱客的博主淡然秀发，最近开发中收集的这篇文章主要介绍cartographer建图（1），普通建图和小车提供的odom建图，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

1、平台

硬件：turtlebot2机器人，velodyne激光雷达
软件：ubuntu18.04，ros

velodyne激光雷达作为3D激光雷达，最远距离为100m
详情见https://blog.csdn.net/zbr794866300/article/details/99305864?spm=1001.2014.3001.5502

2、car中编辑配置文件

不用小车的odom（即只用激光雷达数据），用vlodyne的二维数据

demo_velodyne_2d.launch

<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 velodyne.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>

velodyne.lua

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

options = {
  map_builder = MAP_BUILDER,
  trajectory_builder = TRAJECTORY_BUILDER,
  map_frame = "map",
  tracking_frame = "velodyne",
  published_frame = "velodyne",
  odom_frame = "odom",
  provide_odom_frame = true,
  publish_frame_projected_to_2d = false,
  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 = 2.
TRAJECTORY_BUILDER_2D.max_range = 50.
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

加上小车的odom（即激光雷达数据），用vlodyne的二维数据

velodyne_odom.launch

<!--
  Copyright 2016 The Cartographer Authors

  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License.
-->

<launch>
  <param name="/use_sim_time" value="false" />  <!--建图时false，运行bag包时true。时间同步-->
  <!--这里turtlebot有模型，不用加载-->
  <!-- 运行激光雷达的坐标系laser到机器人坐标系base_link，静态发布-->
  <!--
<node pkg="tf" type="static_transform_publisher" name="base_footprint_to_base_link" args="0.0 0.0 0.0 0 0.0 0.0 base_footprint base_link 100"/>
-->
  <node pkg="tf" type="static_transform_publisher" name="base_link_to_velodyne" args="0.0 0.0 0.0 0 0.0 0.0 base_link velodyne 100"/>
    


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

velodyne_odom.lua

-- Copyright 2016 The Cartographer Authors
--
-- Licensed under the Apache License, Version 2.0 (the "License");
-- you may not use this file except in compliance with the License.
-- You may obtain a copy of the License at
--
--      http://www.apache.org/licenses/LICENSE-2.0
--
-- Unless required by applicable law or agreed to in writing, software
-- distributed under the License is distributed on an "AS IS" BASIS,
-- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-- See the License for the specific language governing permissions and
-- limitations under the License.

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

options = {
  map_builder = MAP_BUILDER,
  trajectory_builder = TRAJECTORY_BUILDER,
  map_frame = "map",    --父框架
  tracking_frame = "base_link",    --追中帧，默认base_link
  published_frame = "odom",    --使用odom数据
  --这里坐标关系为map到odom再到base_link。激光雷达的laser在launch文件中手动添加。
  odom_frame = "odom",    --不使用不设置，provide_odom_frame为false
  provide_odom_frame = false,   --使用外部/odom，所以这里不需要内部提供
  publish_frame_projected_to_2d = false,
  use_odometry = true,   --使用外部/odom的数据，true
  use_nav_sat = false,
  use_landmarks = false,
  num_laser_scans = 1,  --要订阅的激光扫描主题数
  num_multi_echo_laser_scans = 0,  ----要订阅的多回波激光扫描主题数
  num_subdivisions_per_laser_scan = 1,
  num_point_clouds = 0,
  lookup_transform_timeout_sec = 0.2,
  submap_publish_period_sec = 0.3,  --发布子图时间
  pose_publish_period_sec = 5e-3,  --发布姿势时间
  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 = 2
TRAJECTORY_BUILDER_2D.max_range = 50.
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