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This data repository contains vibration tests of an Ouster OS1-64 lidar including a docker based python environment and documentation. It consists of movement data, Fotos, IMU data, pointclouds and a ground truth measurements with an Riegl VZ6000 laser scaner. For further details see the linked publication and the example.ipynb notebook. Quick start download the repo unzip the archive install VS code with the remote development extension install docker desktop open the folder in a new VS code window Say "yes" to open the folder inside a docker container wait for the container to start open the example jupyter notebook Structure ├── .devcontainer .... VS code devcontainer (arm64 and amd64) ├── Acceleromenter_A_z_deflection .... Accelerometer data ├── Foto .... Fotos of the setup │ ├── VZ6000 .... Fotos of the ground truth measurements │ └── test_setup .... Fotos of the test setup ├── Notebook .... A jupyter notebook with examples ├── OS1_64_IMU .... Ouster IMU data ├── OS1_64_pointcloud .... point cloud data ├── VZ6000_groundtruth .... Ground truth data from Riegl VZ6000 └── targets .... contains 2 different sets of reference │ ├── scene_aligned_by_reflectors │ └── targets_aligned └── files.csv .... an overview of the files and meta data
{"references": ["Schlager et al. (2022): Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit, and Effects on the Point Cloud, 10.1109/OJITS.2022.3176471"]}
pointcloudset, Riegl VZ-6000, Ouster OS1-64, ROS, automotive, vibration, perception, lidar, point cloud
pointcloudset, Riegl VZ-6000, Ouster OS1-64, ROS, automotive, vibration, perception, lidar, point cloud
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