Published June 7, 2022 | Version 0.1

LiDAR and thermal data for camera pose estimation using the depth-map correspondence algorithm

  • 1. University of Konstanz, Max-Planck Institute for Animal Behaviour, Max-Planck Institute for Ornithology
  • 2. University of Konstanz

Description

Folder and file structure:

  • lidar_roi.ply : ~360 MB mesh file which is a sub-part of the whole Orlova Chuka scan collected in [1]
  • yyyy-mm-dd total of ~17 GB. All video data including raw data, exported video, digitised xy points and calibration results
    • 2018-08-19
    • 2018-08-17
    • 2018-08-14
    • 2018-07-28
    • 2018-07-25
    • 2018-07-21

Thermal camera YYYY-MM-DD folder substructure: Each of the yyyy-mm-dd dates is one recording session. Each session folder has the following structure:

  • avi_files (present on some nights)
  • cave_photos: (present on some nights)
  • mic_and_wall_points
  • tmc_files: (present on some nights) The TMC files is a proprietary format to store thermal camera video data (TeAx GmbH, Germany). on 2018-08-17, only P0000000 is provided as it doesnt' have humans blocking the scene. Each frame can be exported to csv using the ThermoViewer tool, downloadable at: https://thermalcapture.com/thermoviewer-download/
  • video_calibration: results and associated data to get DLT coefficients estimated using the easyWand [2] workflow.
    • image : csv file with pixel values of the images used for annotations
    • mics : 2D point locations of mics placed on the cave walls
    • other_cave_surface : other points on the cave surface that were pointed at
      • calibration_output: results from easyWand runs. Choose the highest round number
        • yyyy-mm-dd_roundX_<wandscore>_cam1Tforms.mat (undistortion files)
        • yyyy-mm-dd_roundX_<wandscore>_cam2Tforms.mat
        • yyyy-mm-dd_roundX_<wandscore>_cam3Tforms.mat
        • yyyy-mm-dd_roundX_<wandscore>_dltCoefs.csv (each column is one camera's DLT coefficients)
        • yyyy-mm-dd_roundX_<wandscore>_easyWandData.mat (easyWand session file)
      • gravity: (mostly there) video and xy points for a falling object to align the calbiration to gravity. Output from DLTdv7 clicking session.
      • wand: video and xy points of the 'wand' calibration object. Output from DLTdv7 clicking session.
      • camera_intrinsic.txt or thermalcam_camprofiles_profile.txt : the camera instrinsics
  • alignment_results: ~887 MB zipped folder.
    • dmcp_experiments: the results of  DMCP alignment
      • round_01 : ignore this folder
      • round_03 : ignore this folder
      • round_05: here yyyy-mm-dd is short for all other nights. Each yyyy-mm-dd folder has multiple csv files. The 'transform.csv' is the most relevant file, as it holds the transformation matrix to move 3D points from camera triangulations into the LiDAR coordinate system.
        • 2018-07-21--cam0
        • 2018-07-21--cam1
        • 2018-07-21--cam2
        • yyyy-mm-dd--cam0
        • yyyy-mm-dd--cam1
        • yyyy-mm-dd--cam2
        • ...
        • ...
        • ...
        • 2018-08-19--cam0
        • 2018-08-19--cam1
        • 2018-08-19--cam2

 

CITATION: If you use this dataset for your research please cite this Zenodo dataset and the accompanying paper.

This uploaded dataset is part of the Ushichka dataset [3]. The audio-video system was designed by Holger R. Goerlitz. The LiDAR data was collected by Asparuh Kamburov. Video data collected by Thejasvi Beleyur.

References

[1] : Kamburov, A., Goerlitz, H. R., Beleyur, T 2018, Geospatial modelling inside the "Orlova Chuka" cave in Bulgaria, non-peer reviewed conference contribution, XXVIII International Symposium on Modern Technologies and Professional Practise in Geodesy and related fields

[2]: Theriault, D. H., Fuller, N. W., Jackson, B. E., Bluhm, E., Evangelista, D., Wu, Z., M., Betke & Hedrick, T. L. (2014). A protocol and calibration method for accurate multi-camera field videography. Journal of Experimental Biology, 217(11), 1843-1848.

[3]: Beleyur Thejasvi, 2021. Theoretical and empirical investigations of echolocation in bat groups, PhD dissertation, University of Konstanz (http://nbn-resolving.de/urn:nbn:de:bsz:352-2-q41u3qlu1em03)

Notes

FUNDING This work was funded by CASCB Medium grant and a University of Konstanz Young Scholar's Fund extension grant to TB.

Files

2018-07-21.zip

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