前言

书接上回，我们用laser+imu进行了实时建图，接下来我们来加一下odom。
接下来的首先是laser+odom进行建图
最后再进行laser+imu+odom进行建图

1 接入odom

1.1 odom的驱动

我手上暂时没有轮式里程计，目前先用rf2o生成里程计数据接入，关于rf2o的安装方式已经比较多了，我这边就不一一讲了。

然后需要注意的就是rf2o的launch文件中，需要进行修改，修改后的如下

<launch>

  <node pkg="rf2o_laser_odometry" type="rf2o_laser_odometry_node" name="rf2o_laser_odometry" output="screen">
    <param name="laser_scan_topic" value="/horizontal_laser_2d"/>        # topic where the lidar scans are being published
    <param name="odom_topic" value="/odom" />              # topic where tu publish the odometry estimations
    <param name="publish_tf" value="false" />                   # wheter or not to publish the tf::transform (base->odom)
    <param name="base_frame_id" value="base_link"/>            # frame_id (tf) of the mobile robot base. A tf transform from the laser_frame to the base_frame is mandatory
    <param name="odom_frame_id" value="/odom" />                # frame_id (tf) to publish the odometry estimations    
    <param name="init_pose_from_topic" value="" /> # (Odom topic) Leave empty to start at point (0,0)
    <param name="freq" value="6.0"/>                            # Execution frequency.
    <param name="verbose" value="true" />                       # verbose
  node>
  
launch>
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修改主要就是话题给接上，其他的参考别人的博客即可

1.2 修改revo_lds.lua

跟着上一个博客的，已经做过修改了，这次我们只需要修改两个地方，将imu设置为false，odom设置为true，文件如下

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

options = {
  map_builder = MAP_BUILDER,
  trajectory_builder = TRAJECTORY_BUILDER,
  map_frame = "map",
  tracking_frame = "base_link", -- horizontal_laser_link
  published_frame = "base_link", -- horizontal_laser_link
  odom_frame = "odom",
  provide_odom_frame = true,
  publish_frame_projected_to_2d = false,
  use_odometry = true,
  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 = 20.
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
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这个时候按顺序启动laser.launch、of2o.launch、demo_revo_lds.launch即可，然后发现就可以建图了，rqt_graph和tf都是正确的

2 接入imu和odom

只要是从上一个博客跟着到现在，就会发现很简单了，只需要设置revo_lds.lua中的一个参数即可，TRAJECTORY_BUILDER_2D.use_imu_data设置为启动，文件如下

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

options = {
  map_builder = MAP_BUILDER,
  trajectory_builder = TRAJECTORY_BUILDER,
  map_frame = "map",
  tracking_frame = "base_link", -- horizontal_laser_link
  published_frame = "base_link", -- horizontal_laser_link
  odom_frame = "odom",
  provide_odom_frame = true,
  publish_frame_projected_to_2d = false,
  use_odometry = true,
  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 = 20.
TRAJECTORY_BUILDER_2D.missing_data_ray_length = 1.
TRAJECTORY_BUILDER_2D.use_imu_data = true
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
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然后启动雷达、imu、rf2o和carto即可