kth-rpl--dufomap
41 行
1.6 KiB
TOML
41 行
1.6 KiB
TOML
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[important]
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resolution = 0.1 # voxel size (meters), v in the paper, default 0.1
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inflate_unknown = 1 # d_p in the paper, default 1
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inflate_hits_dist = 0.2 # d_s in the paper, default 0.2
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# ----------- No need to modify if you are not professional dufoer or ufoer.
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# ----------- Deeper Parameter for debugging potential better result --------
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[integration]
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inflate_unknown_compensation = true
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ray_passthrough_hits = false
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down_sampling_method = "center" # ["none", "center", "centroid", "uniform"]
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min_range = 0.2 # For filter out the ego points (some SLAM algorithm will include a pose point etc.
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max_range = -1 # Maximum range to integrate
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only_valid = false # Only do ray casting for points within 'max_range'
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hit_depth = 0 # Level of the octree to integrate hits
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miss_depth = 0 # Level of the octree to integrate misses
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ray_casting_depth = 0 # Level of the octree to perform ray casting
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simple_ray_casting = false
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simple_ray_casting_factor = 1.0
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parallel = true # Use parallel execution for integration
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num_threads = 0 # Number of threads to use, 8 times number of physical cores seems to be a good number and it is chosen if 0 is given
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[map]
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levels = 20 # Levels of the octree
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[dataset]
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first = 0 # First pcd index
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last = -1 # Last pcd index (-1 equals all)
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num = -1 # Number of pcd files to read (-1 equals all)
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[printing]
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verbose = false
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debug = false
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[output]
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filename = "dufomap_output"
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raycasting = false
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