1+ # registration methods from Open3D: 0-point-to-point icp; 1-point-to-plane icp; 2-GICP
2+ registration_methods : 2
3+ # set icp_max_distance when search the nearest point, larger value will make the search slower
4+ icp_max_distance : 1.0
5+
6+ # accuracy_level, vector5d, we mainly use the result of the first element
7+ # if inlier is very small, we can try to larger the value, e.g. for outdoors, [0.5, 0.3, 0.2, 0.1, 0.05]
8+ accuracy_level : [0.2, 0.1, 0.08, 0.05, 0.01]
9+
10+ # initial_matrix, vector16d, the initial matrix of the registration
11+ # make sure the format is correct, or you will got the error log: YAML::BadSubscript' what(): operator[] call on a scalar
12+ # if you evaluate the LIO mapping result, you can use the CloudCompare to get the initial matrix first
13+ initial_matrix :
14+ - [1.0, 0.0, 0.0, 0.0]
15+ - [0.0, 1.0, 0.0, 0.0]
16+ - [0.0, 0.0, 1.0, 0.0]
17+ - [0.0, 0.0, 0.0, 1.0]
18+
19+ # estimate map folder path, end with "/", make sure your estimate point cloud and map is renamed as "map.pcd"
20+ # results path will also in the same folder: estimate_map_path + "map_results"
21+ estimate_map_path : /home/xchu/data/ltloc_result/building_day_all/20220225_building_day_ref_tsvd/
22+
23+ # ground truth map file path
24+ # note that we support ".pcd" or ".ply" format for ground truth map loading
25+ gt_map_path : /media/xchu/e81eaf80-d92c-413a-a503-1c9b35b19963/home/xchu/data/evaluation/gt/map/building_day_gt.pcd
26+
27+
28+ # scene name, not important, just for batch processing for a series of scenes
29+ scene_name : stairs
30+
31+ # other settings
32+ # if we save the immediate result to a text file
33+ save_immediate_result : true
34+
35+ # if evaluate Mean Map Entropy (MME) if you do not have ground truth map
36+ # but remember, MME can be only used for map comparison with the same scale, e.g., maps are for odometry.
37+ # it costs a lot of time to calculate MME, so we set it as false by default
38+ evaluate_mme : false
39+
40+ # if we have ground truth map, we also want to evaluate the MME of the ground truth map
41+ evaluate_gt_mme : false
42+
43+ # NN search radius for MME calculation (m), larger value will make the search much more slower, even the memory overflow
44+ nn_radius : 0.1
45+
46+ # if we want to evaluate the registration result using initial matrix without alignments, this operation will save time
47+ # that means your estimate map is already aligned with the ground truth map,
48+ # or your estimate map and the ground truth map is already in the same coordinate system
49+ # e.g. the estimate map is already aligned with the ground truth map
50+ evaluate_using_initial : false
51+
52+ # we want to add noise to the ground truth map, and evaluate the registration result
53+ # note that true will cause the system do not load the estimate map, instead the noise gt_map will be used
54+ # just for algorithm robustness evaluation experiments, not for real-world application
55+ # do not recommand to set it as true, since it will cause the memory overflow
56+ evaluate_noise_gt : false
57+
58+ # vmd voxel size
59+ # outdoor: 2.0-4.0; indoor: 2.0-3.0
60+ vmd_voxel_size : 2.0
61+
62+ # downsample size for estimated and gt point cloud map
63+ downsample_size : 0.01
64+
65+ # if show the evaluation error map after registration
66+ use_visualization : true
67+
68+ # if print the debug info
69+ enable_debug : true
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