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Merge pull request #396 from nasa/develop
Release 0.16.1
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-- Copyright (c) 2017, United States Government, as represented by the | ||
-- Administrator of the National Aeronautics and Space Administration. | ||
-- | ||
-- All rights reserved. | ||
-- | ||
-- The Astrobee platform is licensed under the Apache License, Version 2.0 | ||
-- (the "License"); you may not use this file except in compliance with the | ||
-- License. You may obtain a copy of the License at | ||
-- | ||
-- http://www.apache.org/licenses/LICENSE-2.0 | ||
-- | ||
-- Unless required by applicable law or agreed to in writing, software | ||
-- distributed under the License is distributed on an "AS IS" BASIS, WITHOUT | ||
-- WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the | ||
-- License for the specific language governing permissions and limitations | ||
-- under the License. | ||
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require "context" | ||
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-- Max time diff between successive depth measurements | ||
max_time_diff = 0.7 | ||
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-- Max time diff for correlating image and point cloud measurements to create a depth measurement | ||
-- This ideally have the same timestamp but sometimes vary slightly even though they are from | ||
-- the same measurement | ||
max_image_and_point_cloud_time_diff = 0.05 | ||
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-- Covariance thresholds for rejecting relative odometry result | ||
position_covariance_threshold = 100 | ||
orientation_covariance_threshold = 100 | ||
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-- icp or image_feature | ||
depth_odometry_method = "image_feature" | ||
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-- ICP options | ||
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-- Search radius for each point in ICP | ||
search_radius = 0.04 | ||
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symmetric_objective = true | ||
-- Only applicable for symmetric objective | ||
enforce_same_direction_normals = true | ||
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-- ICP fitness score threshold for rejecting ICP result | ||
use_fitness_threshold_rejection = false | ||
fitness_threshold = 1 | ||
max_iterations = 1 | ||
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-- Use RANSAC AI algorithm to compute initial estimate | ||
inital_estimate_with_ransac_ia = false | ||
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correspondence_rejector_surface_normal = true | ||
-- Threshold for cos(theta) where theta is the angle between two normals. Range from [0,1] | ||
-- The closer to 1, the more aligned the normals are | ||
correspondence_rejector_surface_normal_threshold = 0.75 | ||
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correspondence_rejector_median_distance = false | ||
-- Correspondences with distance > median_distance*factor are rejected | ||
correspondence_rejector_median_distance_factor = 1.0 | ||
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-- Organized normal estimation | ||
use_organized_normal_estimation = true | ||
-- avg_3d_gradient, covariance, avg_depth_change | ||
organized_normal_method = "avg_3d_gradient" | ||
use_depth_dependent_smoothing = false | ||
max_depth_change_factor = 0.02 | ||
normal_smoothing_size = 10.0 | ||
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-- Normal space sampling | ||
use_normal_space_sampling = true | ||
bins_per_axis = 12 | ||
num_samples = 3500 | ||
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-- Downsample options | ||
downsample = false | ||
downsample_leaf_size = 0.02 | ||
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-- coarse to fine options for ICP | ||
coarse_to_fine = false | ||
num_coarse_to_fine_levels = 1 | ||
coarse_to_fine_downsample_ratio = 0.5 | ||
-- Final (smallest) leaf size | ||
coarse_to_fine_final_leaf_size = 0.02 | ||
downsample_last_coarse_to_fine_iteration = true | ||
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-- Depth image aligner options | ||
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-- brisk, surf, lk_optical_flow | ||
detector = "lk_optical_flow" | ||
-- Brisk detector options | ||
brisk_threshold = 120 | ||
brisk_octaves = 4 | ||
brisk_float_pattern_scale = 1 | ||
-- Brisk matching options | ||
brisk_max_match_hamming_distance = 100 | ||
brisk_flann_table_number = 3 | ||
brisk_flann_key_size = 18 | ||
brisk_flann_multi_probe_level = 2 | ||
-- Surf options | ||
surf_threshold = 1000 | ||
surf_max_match_distance = 0.25 | ||
-- LK optical flow options | ||
lk_max_iterations = 10 | ||
lk_termination_epsilon = 0.03 | ||
lk_window_length = 10 | ||
lk_max_level = 3 | ||
lk_min_eigen_threshold = 0.2 | ||
lk_max_flow_distance = 50 | ||
lk_max_backward_match_distance = 0.1 | ||
-- Good features to track options | ||
lk_max_corners = 100 | ||
lk_quality_level = 0.01 | ||
lk_min_distance = 10 | ||
lk_block_size = 5 | ||
lk_use_harris_detector = false | ||
lk_k = 0.04 | ||
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-- CLAHE histogram equalization options | ||
use_clahe = true | ||
clahe_grid_length = 8 | ||
clahe_clip_limit = 40 | ||
-- Other | ||
min_x_distance_to_border = 10 | ||
min_y_distance_to_border = 10 | ||
min_num_inliers = 5 | ||
-- Refine estimate with PointToPlaneICP | ||
refine_estimate = true | ||
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-- Point cloud with known correspondences aligner | ||
pcwkca_max_num_iterations = 100 | ||
pcwkca_function_tolerance = 1e-6 | ||
pcwkca_max_num_match_sets = 10000000 | ||
pcwkca_normal_search_radius = 0.03 | ||
pcwkca_use_umeyama_initial_guess = false | ||
pcwkca_use_single_iteration_umeyama = false | ||
pcwkca_use_point_to_plane_cost = false | ||
pcwkca_use_symmetric_point_to_plane_cost = false | ||
pcwkca_verbose_optimization = false | ||
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publish_point_clouds = false |
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