Published March 17, 2022 | Version 1.1
Dataset Open

Visual-inertial input datasets for SLAM applications containing extreme and human-like motion patterns

Authors/Creators

  • 1. Budapest University of Technology and Economics

Description

Recorded datasets in compressed rosbag format, which contain visual and IMU sensor information that are bearing high resemblance to the movement of a human player with a handheld AR-capable device.

For machine learning training and validation tasks, separate dataset are available containing motion patterns in a wide range from steady camera image to extremely challenging movements.

Files

Files (8.6 GB)

Name Size Download all
md5:6f743074e3b6f07a96e8223fd7d7d9ab
629.4 MB Download
md5:e2ec3d56d1127adae6b8eb1f9dc6316a
2.7 GB Download
md5:57c06e19ae266027afa0cf5848174571
2.8 GB Download
md5:5f0463bcc1d8b2176ef46734f7ebe58c
2.5 GB Download

Additional details

References

  • J. Czentye, B. P. Gerő and B. Sonkoly, "Managing Localization Delay for Cloud-assisted AR Applications Via LSTM-driven Overload Control," 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), 2021, pp. 92-101, doi: 10.1109/AIVR52153.2021.00023.