new indoor map generated
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image: Feb16_map_afternoon.pgm
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mode: trinary
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resolution: 0.05
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origin: [-4.25, -2.39, 0]
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negate: 0
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occupied_thresh: 0.65
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free_thresh: 0.25
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image: Feb19_Room.pgm
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mode: trinary
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resolution: 0.05
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origin: [-4.07, -1.54, 0]
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negate: 0
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occupied_thresh: 0.65
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free_thresh: 0.25
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@ -19,9 +19,9 @@ slam_toolbox:
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# if you'd like to immediately start continuing a map at a given pose
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# or at the dock, but they are mutually exclusive, if pose is given
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# will use pose
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map_file_name: /home/rstaion/projects/rooholla/locomotion/Go2Py/deploy/nav2_ws/Feb16_hallway_map
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map_start_pose: [0.33, 1.49, 0.0]
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# map_start_at_dock: true
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map_file_name: /home/unitree/locomotion/Go2Py/deploy/nav2_ws/Feb19_Room
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#map_start_pose: [0.33, 1.49, 0.0]
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map_start_at_dock: true
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debug_logging: false
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throttle_scans: 1
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@ -114,7 +114,7 @@ ekf_filter_node:
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# for all future measurements. While you can achieve the same effect with the differential paremeter, the key
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# difference is that the relative parameter doesn't cause the measurement to be converted to a velocity before
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# integrating it. If you simply want your measurements to start at 0 for a given sensor, set this to true.
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odom0_relative: false
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odom0_relative: true
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# [ADVANCED] If your data is subject to outliers, use these threshold settings, expressed as Mahalanobis distances, to
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# control how far away from the current vehicle state a sensor measurement is permitted to be. Each defaults to
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