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mapping task ID: 3495 |
Mapping Task Configuration 2472 Details Information
mapping task ID: 3495 |
Algorihtm & Dataset
Algorithm Selection
Algorithm ImageTag: lio-sam
Algorihtm name: lio-sam
Dataset Selection:
Dataset Sequence Name: kitti_2011_09_30_drive_0028_synced_full
Dataset name: kitti
Configuration Information
Mapping Task Configuration Name: lio-sam+kitti_2011_09_30_drive_0028_synced_full_save_map
Mapping Task Configuration Description:
test save map mapping topic: lio-sam/mapping/global_map
Corresponding Parameters Infomation
| ID | Name | Description | parameter Type | Algo/Dataset Name | Key | Value Type | Value |
|---|---|---|---|---|---|---|---|
| 365 | LIO-SAM+edgeThreshold | LOAM feature threshold |
Algorithm | lio-sam | edgeThreshold | float | 1.0 |
| 366 | LIO-SAM+surfThreshold | LOAM feature threshold |
Algorithm | lio-sam | surfThreshold | float | 0.1 |
| 367 | LIO-SAM+edgeFeatureMinValidNum | LOAM feature threshold |
Algorithm | lio-sam | edgeFeatureMinValidNum | int | 10 |
| 368 | LIO-SAM+surfFeatureMinValidNum | LOAM feature threshold |
Algorithm | lio-sam | surfFeatureMinValidNum | int | 100 |
| 369 | LIO-SAM+odometrySurfLeafSize | voxel filter paprams; # default: 0.4 - outdoor, 0.2 - indoor |
Algorithm | lio-sam | odometrySurfLeafSize | float | 0.4 |
| 370 | LIO-SAM+mappingCornerLeafSize | voxel filter paprams; # default: 0.2 - outdoor, 0.1 - indoor |
Algorithm | lio-sam | mappingCornerLeafSize | float | 0.2 |
| 371 | LIO-SAM+mappingSurfLeafSize | voxel filter paprams; # default: 0.4 - outdoor, 0.2 - indoor |
Algorithm | lio-sam | mappingSurfLeafSize | float | 0.4 |
| 372 | LIO-SAM+z_tollerance | obot motion constraint (in case you are using a 2D robot); # meters |
Algorithm | lio-sam | z_tollerance | int | 1000 |
| 373 | LIO-SAM+rotation_tollerance | robot motion constraint (in case you are using a 2D robot); radians |
Algorithm | lio-sam | rotation_tollerance | int | 1000 |
| 374 | LIO-SAM+numberOfCores | CPU Params; # number of cores for mapping optimization |
Algorithm | lio-sam | numberOfCores | int | 4 |
| 375 | LIO-SAM+mappingProcessInterval | CPU Params; # seconds, regulate mapping frequency |
Algorithm | lio-sam | mappingProcessInterval | float | 0.15 |
| 376 | LIO-SAM+surroundingkeyframeAddingDistThreshold | Surrounding map;# meters, regulate keyframe adding threshold |
Algorithm | lio-sam | surroundingkeyframeAddingDistThreshold | float | 1.0 |
| 377 | LIO-SAM+surroundingkeyframeAddingAngleThreshold | Surrounding map;# radians, regulate keyframe adding threshold |
Algorithm | lio-sam | surroundingkeyframeAddingAngleThreshold | float | 0.2 |
| 378 | LIO-SAM+surroundingKeyframeDensity | Surrounding map;# meters, downsample surrounding keyframe poses |
Algorithm | lio-sam | surroundingKeyframeDensity | float | 2.0 |
| 379 | LIO-SAM+surroundingKeyframeSearchRadius | Surrounding map;# meters, within n meters scan-to-map optimization (when loop closure disabled) |
Algorithm | lio-sam | surroundingKeyframeSearchRadius | float | 50.0 |
| 380 | LIO-SAM+loopClosureFrequency | Hz, regulate loop closure constraint add frequency |
Algorithm | lio-sam | loopClosureFrequency | float | 1.0 |
| 381 | LIO-SAM+surroundingKeyframeSize | constraint add frequency; # submap size (when loop closure enabled) |
Algorithm | lio-sam | surroundingKeyframeSize | int | 50 |
| 382 | LIO-SAM+historyKeyframeSearchRadius | constraint add frequency; # meters, key frame that is within n meters from current pose will be considerd for loop closure |
Algorithm | lio-sam | historyKeyframeSearchRadius | float | 15.0 |
| 383 | LIO-SAM+historyKeyframeSearchTimeDiff | constraint add frequency; # seconds, key frame that is n seconds older will be considered for loop closure |
Algorithm | lio-sam | historyKeyframeSearchTimeDiff | float | 30.0 |
| 384 | LIO-SAM+historyKeyframeSearchNum | constraint add frequency; # number of hostory key frames will be fused into a submap for loop closure |
Algorithm | lio-sam | historyKeyframeSearchNum | int | 25 |
| 385 | LIO-SAM+historyKeyframeFitnessScore | constraint add frequency; # icp threshold, the smaller the better alignment |
Algorithm | lio-sam | historyKeyframeFitnessScore | float | 0.3 |
| 386 | LIO-SAM+gpsCovThreshold | # m^2, threshold for using GPS data |
Algorithm | lio-sam | gpsCovThreshold | float | 2.0 |
| 387 | LIO-SAM+poseCovThreshold | # m^2, threshold for using GPS data |
Algorithm | lio-sam | poseCovThreshold | float | 25.0 |
| 388 | LIO-SAM+downsampleRate | # default: 1. Downsample your data if too many points. i.e., 16 = 64 / 4, 16 = 16 / 1 |
Algorithm | lio-sam | downsampleRate | int | 2 |
| 476 | general+NoiseGyro | NoiseGyro |
Dataset | kitti | imuGyrNoise | float | 0.0015636343949698187 |
| 477 | general+NoiseAcc | NoiseAcc |
Dataset | kitti | imuAccNoise | float | 0.003993957088823881 |
| 478 | general+GyroWalk | GyroWalk |
Dataset | kitti | imuGyrBiasN | float | 3.564031869636761e-05 |
| 479 | general+AccWalk | AccWalk |
Dataset | kitti | imuAccBiasN | float | 6.435665935353257e-05 |
| 505 | general+g_norm | gravity |
Dataset | kitti | imuGravity | float | 9.80511 |
| 512 | LIO-SAM+pointCloudTopic | remap |
Algorithm | lio-sam | pointCloudTopic | string | "points_raw" |
| 513 | LIO-SAM+imuTopic | remap |
Algorithm | lio-sam | imuTopic | string | "imu_raw" |
| 514 | LIO-SAM+savePCD | lio-sam |
Algorithm | lio-sam | savePCD | string | false |
| 515 | LIO-SAM+savePCDDirectory | lio-sam |
Algorithm | lio-sam | savePCDDirectory | string | "/Downloads/LOAM/" |
| 516 | LIO-SAM+loopClosureEnableFlag | Loop closure |
Algorithm | lio-sam | loopClosureEnableFlag | string | true |
| 517 | LIO-SAM+navsatfrequency | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatfrequency | int | 50 |
| 518 | LIO-SAM+navsatwait_for_datum | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatwait_for_datum | string | false |
| 519 | LIO-SAM+navsatdelay | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatdelay | float | 0.0 |
| 520 | LIO-SAM+navsatmagnetic_declination_radians | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatmagnetic_declination_radians | int | 0 |
| 521 | LIO-SAM+navsatyaw_offset | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatyaw_offset | int | 0 |
| 522 | LIO-SAM+navsatzero_altitude | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatzero_altitude | string | true |
| 523 | LIO-SAM+navsatbroadcast_utm_transform | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatbroadcast_utm_transform | string | false |
| 524 | LIO-SAM+navsatbroadcast_utm_transform_as_parent_frame | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatbroadcast_utm_transform_as_parent_frame | string | false |
| 525 | LIO-SAM+navsatpublish_filtered_gps | Navsat (convert GPS coordinates to Cartesian) |
Algorithm | lio-sam | navsatpublish_filtered_gps | string | false |
| 526 | LIO-SAM+ekf_gpspublish_tf | EKF for Navsat |
Algorithm | lio-sam | ekf_gpspublish_tf | string | false |
| 527 | LIO-SAM+ekf_gpsfrequency | EKF for Navsat |
Algorithm | lio-sam | ekf_gpsfrequency | int | 50 |
| 528 | LIO-SAM+ekf_gpstwo_d_mode | EKF for Navsat |
Algorithm | lio-sam | ekf_gpstwo_d_mode | string | false |
| 529 | LIO-SAM+ekf_gpssensor_timeout | EKF for Navsat |
Algorithm | lio-sam | ekf_gpssensor_timeout | float | 0.01 |
| 530 | LIO-SAM+GpsElevation | # if using GPS data, set to "true"; # if GPS elevation is bad, set to "false" |
Algorithm | lio-sam | GpsElevation | string | false |
| 531 | LIO-SAM+sensor | # lidar sensor type, 'velodyne' or 'ouster' or 'livox' |
Dataset | kitti | sensor | string | velodyne |
| 532 | LIO-SAM+N_SCAN | # number of lidar channel (i.e., Velodyne/Ouster: 16, 32, 64, 128, Livox Horizon: 6) |
Dataset | kitti | N_SCAN | int | 64 |
| 533 | LIO-SAM+Horizon_SCAN | # lidar horizontal resolution (Velodyne:1800, Ouster:512,1024,2048, Livox Horizon: 4000) |
Dataset | kitti | Horizon_SCAN | int | 1800 |
| 534 | LIO-SAM+lidarMinRange | # default: 1.0, minimum lidar range to be used |
Dataset | kitti | lidarMinRange | float | 1.0 |
| 535 | LIO-SAM+lidarMaxRange | # default: 1000.0, maximum lidar range to be used |
Dataset | kitti | lidarMaxRange | float | 1000.0 |
| 536 | general+RPYWeight | lio-sam |
Dataset | kitti | imuRPYWeight | float | 0.01 |
| 537 | LIO-SAM+extrinsicTrans | lio-sam |
Dataset matrix | kitti | extrinsicTrans | matrix | [-0.8086759, 0.3195559, -0.7997231] |
| 538 | LIO-SAM+extrinsicRPY | lio-sam |
Dataset matrix | kitti | extrinsicRPY | matrix | [0.9999976, 0.0007553071, -0.002035826, -0.0007854027, 0.9998898, -0.01482298, 0.002024406, 0.01482454, 0.9998881] |
| 539 | LIO-SAM+extrinsicRot | lio-sam |
Dataset matrix | kitti | extrinsicRot | matrix | [0.9999976, 0.0007553071, -0.002035826, -0.0007854027, 0.9998898, -0.01482298, 0.002024406, 0.01482454, 0.9998881] |
| 586 | LIO-SAM+gpsTopic | remap |
Algorithm | lio-sam | gpsTopic | string | "odometry/gpsz" |
| 569 | general+lidar_frequency | frequency of Lidar data |
Dataset | kitti | lidar_frequency | int | 10 |
| 575 | general+imu_frequency | frequency of imu data |
Dataset | kitti | imu_frequency | int | 100 |
| 570 | general+save_map | Save the mapping result. 0: don't save; 1: save. |
General parameter | euroc | save_map | int | 1 |