Care3D: An Active 3D Object Detection Dataset of Real Robotic-Care
  Environments
Michael G. Adam Sebastian Eger Martin Piccolrovazzi Maged Iskandar Joern Vogel Alexander Dietrich Seongjien Bien Jon Skerlj Abdeldjallil Naceri Eckehard Steinbach Alin Albu-Schaeffer Sami Haddadin Wolfram Burgard
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.