Published December 9, 2021 | Version v.1.0.0
Dataset Open

Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit and Effects on the Point Cloud

  • 1. Virtual Vehicle Research GmbH
  • 2. University of Graz and Virtual Vehicle Research GmbH
  • 3. Virtual Vehicle Research GmbH and Graz University of Technology

Description

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

Files

lidar_vibration.zip

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Additional details

References

  • Schlager et al. (2022): Automotive Lidar and Vibration: Resonance, Inertial Measurement Unit, and Effects on the Point Cloud, 10.1109/OJITS.2022.3176471