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save_flag : true
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- patchworkpp :
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-
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- sensor_height : 1.723
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+ # patchworkpp:
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- mode : " czm"
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- verbose : false # To check effect of uprightness/elevation/flatness
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- visualize : true # Ground Likelihood Estimation is visualized
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-
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- # Ground Plane Fitting parameters
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- num_iter : 3 # Number of iterations for ground plane estimation using PCA.
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- num_lpr : 20 # Maximum number of points to be selected as lowest points representative.
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- num_min_pts : 10 # Minimum number of points to be estimated as ground plane in each patch.
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- th_seeds : 0.3 # threshold for lowest point representatives using in initial seeds selection of ground points.
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- th_dist : 0.125 # threshold for thickenss of ground.
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- th_seeds_v : 0.25 # threshold for lowest point representatives using in initial seeds selection of vertical structural points.
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- th_dist_v : 0.1 # threshold for thickenss of vertical structure.
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- max_r : 80.0 # max_range of ground estimation area
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- min_r : 2.7 # min_range of ground estimation area
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- uprightness_thr : 0.707 # threshold of uprightness using in Ground Likelihood Estimation(GLE). Please refer paper for more information about GLE.
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+ sensor_height : 1.723
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- adaptive_seed_selection_margin : -1.2 # The points below the adaptive_seed_selection_margin * sensor_height are filtered
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- czm :
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- num_zones : 4
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- num_sectors_each_zone : [16, 32, 54, 32]
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- mum_rings_each_zone : [2, 4, 4, 4]
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- elevation_thresholds : [0.0, 0.0, 0.0, 0.0] # threshold of elevation for each ring using in GLE. Those values are updated adaptively.
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- flatness_thresholds : [0.0, 0.0, 0.0, 0.0] # threshold of flatness for each ring using in GLE. Those values are updated adaptively.
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+ mode : " czm"
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+ verbose : false # To check effect of uprightness/elevation/flatness
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+ visualize : true # Ground Likelihood Estimation is visualized
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- enable_RNR : true
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- enable_RVPF : true
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- enable_TGR : true
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-
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- RNR_ver_angle_thr : -15.0 # Noise points vertical angle threshold. Downward rays of LiDAR are more likely to generate severe noise points.
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- RNR_intensity_thr : 0.2 # Noise points intensity threshold. The reflected points have relatively small intensity than others.
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+ # Ground Plane Fitting parameters
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+ num_iter : 3 # Number of iterations for ground plane estimation using PCA.
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+ num_lpr : 20 # Maximum number of points to be selected as lowest points representative.
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+ num_min_pts : 10 # Minimum number of points to be estimated as ground plane in each patch.
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+ th_seeds : 0.3 # threshold for lowest point representatives using in initial seeds selection of ground points.
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+ th_dist : 0.125 # threshold for thickenss of ground.
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+ th_seeds_v : 0.25 # threshold for lowest point representatives using in initial seeds selection of vertical structural points.
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+ th_dist_v : 0.1 # threshold for thickenss of vertical structure.
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+ max_r : 80.0 # max_range of ground estimation area
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+ min_r : 2.7 # min_range of ground estimation area
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+ uprightness_thr : 0.707 # threshold of uprightness using in Ground Likelihood Estimation(GLE). Please refer paper for more information about GLE.
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+
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+ adaptive_seed_selection_margin : -1.2 # The points below the adaptive_seed_selection_margin * sensor_height are filtered
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+ czm :
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+ num_zones : 4
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+ num_sectors_each_zone : [16, 32, 54, 32]
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+ mum_rings_each_zone : [2, 4, 4, 4]
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+ elevation_thresholds : [0.0, 0.0, 0.0, 0.0] # threshold of elevation for each ring using in GLE. Those values are updated adaptively.
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+ flatness_thresholds : [0.0, 0.0, 0.0, 0.0] # threshold of flatness for each ring using in GLE. Those values are updated adaptively.
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+
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+ enable_RNR : true
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+ enable_RVPF : true
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+ enable_TGR : true
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+
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+ RNR_ver_angle_thr : -15.0 # Noise points vertical angle threshold. Downward rays of LiDAR are more likely to generate severe noise points.
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+ RNR_intensity_thr : 0.2 # Noise points intensity threshold. The reflected points have relatively small intensity than others.
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