ETHZ ASL

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Datasets and open-source code from the Autonomous Systems Lab (ASL) at ETH Zurich, led by Prof. Roland Siegwart.

Laser Registration Dataset

Year: 2013
DOI: 10.3929/ethz-b-000721626

This dataset provides several real-world laser scans for testing and benchmarking laser registration and outdoor localization algorithms. The sequences include diverse outdoor environments containing buildings, vegetation, and long-range structures, suitable for evaluation of alignment, ICP-style registration, and mapping techniques.

Data Access

The dataset is now hosted permanently on the ETH Research Collection:

➡️ Download / Landing Page: https://doi.org/10.3929/ethz-b-000721626

Contents

The dataset includes:

  • 2D and 3D laser scans from outdoor scenes
  • Challenging environments with varying geometry
  • Ground truth / alignment information (depending on sequence)
  • Supporting information for evaluating registration performance

Citation

If you use this dataset, please cite the ETH Research Collection entry:

Laser Registration Dataset Autonomous Systems Lab, ETH Zürich DOI: 10.3929/ethz-b-000721626

Tags: lidar, registration, mapping