research data . Dataset . 2019

THOR - point clouds

Rudenko, Andrey; Kucner, Tomasz Piotr; SWAMINATHAN, Chittaranjan Sriniva Swaminathan; Chadalavada, Ravi Teja; Arras, Kaj O.; Lilienthal, Achim J.;
Open Access English
  • Published: 12 Sep 2019
  • Publisher: Zenodo
Abstract
<p><strong>TH&Ouml;R</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. TH&Ouml;R 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>The dataset includes 9 separate recordings in 3 variations:</p> <ul> <li>``One obstacle&quot; - features one obstacle in the environment and no robot</li> <li>``Moving robot...
Subjects
free text keywords: Human Robot Interaction, Motion Prediction, Social Robotics, People Tracking, Range data, Evolutionary Biology, Ecology, Sociology, Science Policy, Space Science, 69999 Biological Sciences not elsewhere classified, 80699 Information Systems not elsewhere classified
Funded by
EC| ILIAD
Project
ILIAD
Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces
  • Funder: European Commission (EC)
  • Project Code: 732737
  • Funding stream: H2020 | RIA
Communities
Science and Innovation Policy Studies
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Dataset . 2019
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Dataset . 2019
Provider: Zenodo
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Dataset . 2019
Provider: Datacite
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Dataset . 2019
Provider: figshare
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research data . Dataset . 2019

THOR - point clouds

Rudenko, Andrey; Kucner, Tomasz Piotr; SWAMINATHAN, Chittaranjan Sriniva Swaminathan; Chadalavada, Ravi Teja; Arras, Kaj O.; Lilienthal, Achim J.;