3460125
doi
10.5281/zenodo.3460125
oai:zenodo.org:3460125
user-eu
Tomasz Piotr Kucner
AASS, Örebro University, Sweden
Chittaranjan Sriniva Swaminathan SWAMINATHAN
AASS, Örebro University, Sweden
Ravi Teja Chadalavada
AASS, Örebro University, Sweden
Kaj O. Arras
Bosch Corporate Research, Germany
Achim J. Lilienthal
AASS, Örebro University, Sweden
THOR - complementary video recordings
Andrey Rudenko
AASS, Örebro University, Sweden
info:eu-repo/semantics/restrictedAccess
Human Robot Interaction
Eye Tracking
Social Robotics
People tracking
<p><strong>THÖR</strong> is a dataset with human motion trajectory and eye gaze data collected in an indoor environment with accurate ground truth for the position, head orientation, gaze direction, social grouping and goals. THÖR contains sensor data collected by a 3D lidar sensor and involves a mobile robot navigating the space. In comparison to other, our dataset has a larger variety in human motion behaviour, is less noisy, and contains annotations at higher frequencies.</p>
<p><strong>THOR - complementary video recordings </strong>- contains additional video material presenting the image form the eye tracker and stationary camera. The material is not synchronised with other parts of the data set and should be used only as a visualisation material.</p>
Zenodo
2019-09-25
info:eu-repo/semantics/other
3460124
user-eu
1.0
award_title=Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces; award_number=732737; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/732737; funder_id=00k4n6c32; funder_name=European Commission;
1579893906.868382
public
10.5281/zenodo.3460124
isVersionOf
doi