+ python -m lidar_slam --result /working/result.json --no-model --slice-shift 5 /working/1bb993a0-b93c-4aa5-8124-5a5908af378b Lidar SLAM 0.0.33 ===================================================== The recording path: /working/1bb993a0-b93c-4aa5-8124-5a5908af378b The start distance for SLAM: 0.0 The end distance for SLAM: 9.223372036854776e+18 The step lidar is being SLAMMed with: 0.06 The shift is applied to slicing: 150 mm Using the pointcloud Registration only: False The Lidar frames will be flattened: False The centerline will be flattened: True The Lidar 2D slices will be flipped: True Correction angle of Lidar frames: 0.0 Show the detected centerline?: False Display the final 3D model?: False Making 2D slices out of SLAM model?: False Drop angle of 2D slices: 45.0 The number of points in 2D slices: 360 ===================================================== direction of movement: -1 upstream Adjusted start_distance from 0.0 to 0.001357299 Adjusted end_distance from 9.223372036854776e+18 to 1208.961357299 Slamming from 0.001357299 to 1208.961357299 meters! -=-=-> Lidar cleaning parameters file not found. --> Creating a generic default one. ===================================================== Averaging over 500 frames 0%| | 0/32 [00:00