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https://github.com/introlab/rtabmap_ros.git
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Refactored obstacles_detection nodelet to use OccupancyGrid segmentation approach (so using exactly the same parameter names as rtabmap node for the map)
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@@ -1,8 +1,6 @@
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<launch>
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<!-- Use stereo_outdoorA.bag for testing -->
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<arg name="optimize_for_close_objects" default="false" />
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<include file="$(find rtabmap_ros)/launch/demo/demo_stereo_outdoor.launch"/>
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<group ns="/stereo_camera" >
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@@ -23,7 +21,6 @@
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<param name="wait_for_transform" type="bool" value="true"/>
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<param name="min_cluster_size" type="int" value="20"/>
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<param name="max_obstacles_height" type="double" value="0.0"/>
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<param name="optimize_for_close_objects" type="bool" value="$(arg optimize_for_close_objects)"/>
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</node>
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</group>
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