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commented
9 months ago common: lid_topic: "/livox/lidar" imu_topic: "/mavros/imu/data_raw"
preprocess: lidar_type: 1 # Livox series LiDAR feature_extract_en: false scan_line: 6 blind: 1
initialization: cut_frame_num: 5 # must be positive integer orig_odom_freq: 10 # original Lidar frequency mean_acc_norm: 9.805 # 1 for livox built-in IMU online_refine_time: 20 # seconds data_accum_length: 500 Rot_LI_cov: [ 0.00005, 0.00005, 0.00005 ] Trans_LI_cov: [ 0.00001, 0.00001, 0.00001 ]
mapping: filter_size_surf: 0.05 filter_size_map: 0.15 gyr_cov: 50 acc_cov: 2 b_acc_cov: 0.0001 b_gyr_cov: 0.0001 det_range: 100.0
publish: path_en: true scan_publish_en: true # false: close all the point cloud output dense_publish_en: true # false: low down the points number in a global-frame point clouds scan. scan_bodyframe_pub_en: false # true: output the point cloud scans in IMU-body-frame
pcd_save: pcd_save_en: false interval: -1 # how many LiDAR frames saved in each pcd file; # -1 : all frames will be saved in ONE pcd file, may lead to memory crash when having too much frames.
您好，我使用的激光雷达是mid360，这是我截取您yaml文件里的配置。这里的acc_cov与gyr_cov是否过大了。还有其它值是否有什么需要修改的？
就是要很大，否则EKF本身的滤波器延迟会影响时差标定结果。其他 注意一下地图分辨率就好
batmelody
common: lid_topic: "/livox/lidar" imu_topic: "/mavros/imu/data_raw"
preprocess: lidar_type: 1 # Livox series LiDAR feature_extract_en: false scan_line: 6 blind: 1
initialization: cut_frame_num: 5 # must be positive integer orig_odom_freq: 10 # original Lidar frequency mean_acc_norm: 9.805 # 1 for livox built-in IMU online_refine_time: 20 # seconds data_accum_length: 500 Rot_LI_cov: [ 0.00005, 0.00005, 0.00005 ] Trans_LI_cov: [ 0.00001, 0.00001, 0.00001 ]
mapping: filter_size_surf: 0.05 filter_size_map: 0.15 gyr_cov: 50 acc_cov: 2 b_acc_cov: 0.0001 b_gyr_cov: 0.0001 det_range: 100.0
publish: path_en: true scan_publish_en: true # false: close all the point cloud output dense_publish_en: true # false: low down the points number in a global-frame point clouds scan. scan_bodyframe_pub_en: false # true: output the point cloud scans in IMU-body-frame
pcd_save: pcd_save_en: false interval: -1 # how many LiDAR frames saved in each pcd file;
-1 : all frames will be saved in ONE pcd file, may lead to memory crash when having too much frames.
您好，我使用的激光雷达是mid360，这是我截取您yaml文件里的配置。这里的acc_cov与gyr_cov是否过大了。还有其它值是否有什么需要修改的？