/**: ros__parameters: feature_extract_enable: false point_filter_num: 3 max_iteration: 4 # 增加迭代次数,提高精度 filter_size_surf: 0.15 # 减小滤波器尺寸,提高精度 filter_size_map: 0.15 # 减小地图滤波器尺寸,提高精度 cube_side_length: 2000.0 runtime_pos_log_enable: false map_file_path: "./test.pcd" common: lid_topic: "/livox/lidar" imu_topic: "/livox/imu" time_sync_en: false # 禁用时间同步以解决时间差问题 time_offset_lidar_to_imu: 0.0 # 重置时间偏移 # This param will take effect no matter what time_sync_en is. So if the time offset is not known exactly, please set as 0.0 preprocess: lidar_type: 1 # 1 for Livox serials LiDAR, 2 for Velodyne LiDAR, 3 for ouster LiDAR, 4 for any other pointcloud input scan_line: 4 blind: 0.1 timestamp_unit: 3 scan_rate: 5 # 修复: 从20降到5以匹配实际雷达频率3.38Hz mapping: acc_cov: 0.1 # 降低加速度计噪声协方差,减少漂移 gyr_cov: 0.1 # 降低陀螺仪噪声协方差,减少漂移 b_acc_cov: 0.001 # 降低加速度计bias噪声协方差 b_gyr_cov: 0.001 # 降低陀螺仪bias噪声协方差 fov_degree: 360.0 det_range: 100.0 extrinsic_est_en: false # true: enable the online estimation of IMU-LiDAR extrinsic extrinsic_T: [ -0.011, -0.02329, 0.04412 ] extrinsic_R: [ 1., 0., 0., 0., 1., 0., 0., 0., 1.] publish: path_en: true # true: publish Path effect_map_en: false # true: publish Effects map_en: true # true: publish Map cloud scan_publish_en: true # false: close all the point cloud output dense_publish_en: false # false: low down the points number in a global-frame point clouds scan. scan_bodyframe_pub_en: true # true: output the point cloud scans in IMU-body-frame pcd_save: pcd_save_en: true 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.