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arXiv Open Access 2023

Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments

Michael G. Adam Sebastian Eger Martin Piccolrovazzi Maged Iskandar Joern Vogel +8 lainnya
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Abstrak

As labor shortage increases in the health sector, the demand for assistive robotics grows. However, the needed test data to develop those robots is scarce, especially for the application of active 3D object detection, where no real data exists at all. This short paper counters this by introducing such an annotated dataset of real environments. The captured environments represent areas which are already in use in the field of robotic health care research. We further provide ground truth data within one room, for assessing SLAM algorithms running directly on a health care robot.

Topik & Kata Kunci

cs.RO cs.CV

Penulis (13)

M

Michael G. Adam

S

Sebastian Eger

M

Martin Piccolrovazzi

M

Maged Iskandar

J

Joern Vogel

A

Alexander Dietrich

S

Seongjien Bien

J

Jon Skerlj

A

Abdeldjallil Naceri

E

Eckehard Steinbach

A

Alin Albu-Schaeffer

S

Sami Haddadin

W

Wolfram Burgard

Format Sitasi

APA MLA BibTeX
Adam, M.G., Eger, S., Piccolrovazzi, M., Iskandar, M., Vogel, J., Dietrich, A. et al. (2023). Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care Environments. https://arxiv.org/abs/2310.05600

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Tahun Terbit
2023
Bahasa
en
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arXiv
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Open Access ✓