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This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus

License: BSD 3-Clause "New" or "Revised" License

stevens-vlp16-dataset's Introduction

Stevens-VLP16-Dataset

This dataset is captured using a Velodyne VLP-16, which is mounted on an UGV - Clearpath Jackal, on Stevens Institute of Technology campus. The VLP-16 rotation rate is set to 10Hz. This data-set features over 20K scans and many loop-closures. The TF transform in the bags is provided by LeGO-LOAM (without enabling the loop-cloure function, pure lidar odometry). The whole mapping process is also recorded in videos.

UGV Platform

TF in the bags

Topics in the bags

/tf # not needed for running LeGO-LOAM, do not publish it when test with LeGO-LOAM
/imu/data # not aligned with VLP-16, only offers initial transformation guess, not necessary for running LeGO-LOAM
/velodyne_points

Location

https://www.google.com/maps/place/Stevens+Institute+of+Technology/@40.7448183,-74.0278369,17z/data=!3m1!4b1!4m5!3m4!1s0x89c259de94dced4f:0xd4c9d146086e72ae!8m2!3d40.7448183!4d-74.0256482

Point cloud map

Download

https://drive.google.com/drive/folders/1dIsonWdZNBGiUiGh2H6dWJKoJ1k8_A2j?usp=sharing

Cite LeGO-LOAM

Thank you for citing our LeGO-LOAM paper if you use any of this data:

@inproceedings{legoloam2018,
  title={LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain},
  author={Shan, Tixiao and Englot, Brendan},
  booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages={4758-4765},
  year={2018},
  organization={IEEE}
}

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