how to improve maps from octomap?

asked 2015-02-19 23:21:15 -0600

AlexR
654 ●18 ●26 ●38

updated 2015-02-20 01:47:31 -0600

Hi ,

I am trying to build quality maps by using octomap on ROS hydro using a xtion pro live sensor mounted on the robot.

The map generated by octomap do not update well, when visiting the same area and corrupts the map. image description . I am using gmapping for SLAM with a Hokuyo sensor. The 2d grid map builds up nicely and updates but the octomap overlays the map and do no update.

I am doing this on a p3dx pioneer robot. My octomap_mapping.launch file looks like this

<launch>
<node pkg="octomap_server" type="octomap_server_node" name="octomap_server">
    <param name="resolution" value="0.05" />

    <!-- fixed map frame (set to 'map' if SLAM or localization running!) -->
    <param name="frame_id" type="string" value="odom" />

    <!-- maximum range to integrate (speedup!) -->
    <param name="sensor_model/max_range" value="5.0" />


    <!-- data source to integrate (PointCloud2) -->
    <remap from="cloud_in" to="/camera/depth_registered/points" />

</node>

</launch>

Can someone help me and suggest ideas as to how I can improve the maps generated by octomap. Thanks

Alex

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answered 2015-02-21 15:40:21 -0600

AHornung

5904 ●43 ●74 ●102 http://www.informatik....

According to your config in the launch file, you are mapping in the odom frame, so you only use odometry. Accumulated error will cause a drift in the position estimate. So errors when re-visiting known areas are to be expected.

As mentioned in the comment above that line in the launch file, you need to switch to mapping in your actual map frame when using a localization source or SLAM.

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I see changing the frame id from odom to map solved the problem. Thanks a lot.

AlexR ( 2015-02-21 20:31:18 -0600 )edit

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answered 2015-02-20 02:42:18 -0600

ahendrix

47576 ●179 ●367 ●662 http://namniart.com/

short answer: you shouldn't combine octomap and gmapping like this.

long answer:

gmapping is a slam algorithm which goes back and re-optimizes previous poses based on new data, in order to do things like loop closure. This means that, during mapping, the estimated position of the robot may be wrong for a period of time, before gmapping collects enough data to correct the position of the robot. If you set the occupancy of an octomap based on these positions, you'll be building that position error into your octomap.

You should probably look for a different approach which incorporates the 3D map-building process into the SLAM algorithm.

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HI @ahendrix, Thanks for your answer. I know that octomap is a mapping technique and collects point cloud data to make a 3D map. There is no plug and play SLAM backend for it. However from this talk at ROSCon. @AHornung gave a hint that gmapping can be used to correct

AlexR ( 2015-02-20 03:14:34 -0600 )edit

...(Continued) poses from the robot to generate a 3D map. I am not sure if I am correct of not but in some posts I have seen people using Hector SLAM with octomap to correct poses. Would you suggest using RGBDSLAM with octomap?

AlexR ( 2015-02-20 03:16:46 -0600 )edit

Do you only want the map or do you want to do 3D slam? We are building the 2d map first, then run the robot with localization on that for building the octomap.