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https://github.com/introlab/rtabmap_ros.git
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Increased required rtabmap version to 0.20.14. Added detect_more_loop_closures, global_bundle_adjustment and cleanup_local_grids services. rviz MapCloud: added "Download namespace" parameter.
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# Cleanup local grids service
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#
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# Clear empty space from local occupancy grids
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# (and laser scans) based on the current optimized global 2d grid map.
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# If the map needs to be regenerated in the future (e.g., when
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# we re-use the map in SLAM mode), removed obstacles won't reappear.
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# Use this with care and only when you know that the map doesn't have errors,
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# otherwise some real obstacles/walls may be cleared if there is too much
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# drift in the map.
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#
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# Radius in cells around empty cell without obstacles to clear underlying obstacles, default 1 cell if not set.
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int32 radius
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# Filter also the scans, default false if not set.
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# The filtered laser scans will be used for localization,
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# so if dynamic obstacles have been removed, localization won't try to
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# match them anymore. Filtering the laser scans cannot be reverted,
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# but grids can (see DatabaseViewer->Edit menu).
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bool filter_scans
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---
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# return the number of grids or scans modified, -1 if there is an error
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int32 modified
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# Detect more loop closures service
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#
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# Based on the current optimized graph,
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# this process will try to find more nodes corresponding with each
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# other, and thus finding more loop closures to add to graph.
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#
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# Cluster radius (m), default 1 m if not set
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float32 cluster_radius_max
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# Cluster radius min (m), default 0 m if not set
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float32 cluster_radius_min
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# Cluster angle (deg), default 0 deg if not set
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float32 cluster_angle
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# Iterations, default 1 if not set
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int32 iterations
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# Add only intra session loop closures
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bool intra_only
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# Add only inter session loop closures
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bool inter_only
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---
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# return the number of loop closures detected, or -1 if it failed.
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int32 detected
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# Global Bundle Adjustment service
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#
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# Perform global bundle adjustment. Note that as soon as the map
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# is modified again, the graph is re-optimized the standard way (without SBA).
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# It then makes only sense to use this after a mapping run (and after a call
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# to /rtabmap/pause) when you know that the robot will restart in localization
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# mode the next time, or at the beginning of the localization session.
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#
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# Optimizer type (0=g2o, 1=CVSBA), default 0
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int32 type
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# Iterations, default 0 (use Optimizer/Iterations already loaded in the node)
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int32 iterations
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# Pixel variance, default 0 (use g2o/PixelVariance already loaded in the node)
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float32 pixel_variance
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# Use vocabulary matches, default false (rematch all features between frames)
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bool voc_matches
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---
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# return false if failure
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