Challenging Data Sets for Point Cloud Registration Algorithms

Challenging Data Sets for Point Cloud Registration Algorithms

This group of datasets was recorded with the aim to test point cloud registration algorithms in specific environments and conditions. Special care is taken regarding the precision of the “ground truth” positions of the scanner, which is in the millimeter range, using a theodolite. Some examples of the recorded environments can be seen bellow.

Contributions

  • Ground truth localization of the point clouds in the order of millimeters
  • Structured, semi-structures, and unstructured environments
  • Seasonal and dynamic changes

Results in Images

If you’re curious about what those images represent, then you should read the full paper.

Reference

Pomerleau, F., Liu, M., Colas, F., & Siegwart, R. (2012). Challenging data sets for point cloud registration algorithms. International Journal of Robotics Research, 31(14), 1705–1711.

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