i can't view map about lidar_localization_ros2 HOT 16 CLOSED

this is git result

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Is map_path set correctly? Please check it in the terminal output.

map_path: "/home/sasaki/github_ws/ros2_ws/src/pcl_localization_ros2/map/bin_tc-2017-10-15--ndmap.pcd"
https://github.com/rsasaki0109/pcl_localization_ros2/blob/main/param/localization.yaml#L12

RCLCPP_INFO(get_logger(),"map_path: %s", map_path_.c_str());
https://github.com/rsasaki0109/pcl_localization_ros2/blob/main/src/pcl_localization_component.cpp#L178

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what's your perception_pcl library?
https://github.com/ros-perception/perception_pcl <- is that??

Yes, this package is using pcl_conversions from perception_pcl.

from lidar_localization_ros2.

https://github.com/rsasaki0109/lidarslam_ros2

i make pcd map using above git. And data is hdl_400.bag

But my result is bad.

i use parameter under!

is there any wrong?

/**:
ros__parameters:
registration_method: "NDT"
ndt_resolution: 3.0
ndt_step_size: 0.1
transform_epsilon: 0.01
voxel_leaf_size: 1.0
scan_max_range: 100.0
scan_min_range: 1.0
scan_period: 0.1
use_pcd_map: true
map_path: "/home/tazel7885/ros2_ws/src/pcl_localization_ros2/map/map.pcd"
set_initial_pose: true
initial_pose_x: 0.0
initial_pose_y: 0.0
initial_pose_z: 0.0
initial_pose_qx: 0.0
initial_pose_qy: 0.0
initial_pose_qz: 0.0
initial_pose_qw: 1.0
use_odom: false
use_imu: true
enable_debug: true

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from lidar_localization_ros2.

my result

from lidar_localization_ros2.

I'll check.

from lidar_localization_ros2.

use_imu should be false for once.
ndt_resolution and voxel_leaf_size may be too large. Could you try with the following parameter set?

from lidar_localization_ros2.

i test all. but result is same.

Just in case, it seems that the map data and sensor data do not match inside the code. Is there any way to check if the map has been loaded from inside the code?

from lidar_localization_ros2.

Is there any way to check if the map has been loaded from inside the code?

Currently, there is no such function, but you can have the message output at the following

https://github.com/rsasaki0109/pcl_localization_ros2/blob/main/src/pcl_localization_component.cpp#L76-L96

from lidar_localization_ros2.

It was confirmed that localization is possible with the following parameters

/**:
    ros__parameters:
      registration_method: "GICP"
      ndt_resolution: 1.0
      ndt_step_size: 0.1
      transform_epsilon: 0.01
      voxel_leaf_size: 0.5
      scan_max_range: 100.0
      scan_min_range: 1.0
      scan_period: 0.1
      use_pcd_map: true
      map_path: "/home/map4/Downloads/hdl_data/map.pcd"
      set_initial_pose: true
      initial_pose_x: 0.0
      initial_pose_y: 0.0
      initial_pose_z: 0.0
      initial_pose_qx: 0.0
      initial_pose_qy: 0.0
      initial_pose_qz: 0.0
      initial_pose_qw: 1.0
      use_odom: false
      use_imu: false
      enable_debug: true

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Thanks!

I have some questions!

If I want to add odom information, can I add it in m units?

Have you ever turned the above algorithm into a camera point cloud?

from lidar_localization_ros2.

Odometry information needs to be input in meters according to the ROS specifications.
I have never used an input point cloud from a camera.

from lidar_localization_ros2.

Will it be a problem when using the camera's point cloud?

from lidar_localization_ros2.

I think you need to do a better job of parameter tuning because the accuracy of the scan point cloud is poor and the FoV is small with cameras compared to LiDAR.

from lidar_localization_ros2.

The issue regarding the title seems to have been resolved, so we will be closing this matter. If you have any further concerns, please feel free to open a new issue.

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