Datasets › vReLoc

vReLoc

Introduced in PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization5 Mar 2020 archive 2025-07-28

A total of 18 sequences were collected of various lengths. Since the Velodyne LiDAR, RealSense camera and Vicon motion tracker system run in different frequencies, we synchronized these systems so that the image and LiDAR in each timestamp has the same 6-DoF pose. For the static scenario, there are no moving objects in the scene. For other scenarios, there are people randomly walking in the scene. Sequences 01-10 come from the static environment, sequences 11-15 are the one-person moving scenario, and sequences 16-18 are two-persons moving scenario.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • vReLoc

1 variant name, as the archive lists them.

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