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Pedestrian_labels.tar.gz (74.15 MB)
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BEV_RGB_Videos.tar.gz (41.93 GB)
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Robot_data.tar.gz (76.56 GB)
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License.rtf (1.54 kB)
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Set2_Readme.rtf (6.2 kB)
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convert.py (7.24 kB)
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visualization.py (15.45 kB)
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Note on Python Scripts.txt (0.21 kB)
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calibration-20240822T194147Z-001.zip (73.28 kB)
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Notes on calibration file.txt (0.22 kB)
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Version 3 2024-08-29, 23:25
Version 2 2024-06-26, 16:07
Version 1 2024-05-10, 16:46
dataset
posted on 2024-08-29, 23:25 authored by TBDLab AdminTBDLab AdminThe TBD pedestrian dataset is a dataset primarily collected in pedestrian-rich environments. Our dataset highlights the following components: human-verified labels grounded in the metric space, a combination of top-down and ego-centric views, and naturalistic human behavior in the presence of a socially appropriate “robot”
Cite this work as follows:
Wang A, Sato D, Corzo Y, Simkin S, Steinfeld A. TBD Pedestrian Data Collection: Towards Rich, Portable, and Large-Scale Natural Pedestrian Data. In proceedings of the IEEE International Conference on Robotics and Automation (ICRA). 2024
