Research Data Leeds Repository

STRANDS people trajectories - G4S deployment

Duckworth, Paul and Jovan, Ferdian and Kunze, Lars (2016) STRANDS people trajectories - G4S deployment. University of Leeds. [Dataset] https://doi.org/10.5518/34

Dataset description

A collection of detected people trajectories captured using a mobile robot during a six week deployment at offices of the G4S security company.

Keywords:	Machine learning for robotics; Qualitative Spatial Representations; Mobile Robotics; Unsupervised Learning
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence H000 - Engineering > H600 - Electronic & electrical engineering > H670 - Robotics & cybernetics > H671 - Robotics
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing
Related resources:	Location Type http://eprints.whiterose.ac.uk/95870/ Publication http://dl.acm.org/citation.cfm?id=2937077 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	10 May 2016 15:59
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/44
Additional details Additional details Creators: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Duckworth, Paul Jovan, Ferdian Kunze, Lars Type of data: Dataset Research funders: EU FP7 project 600623, STRANDS project 600623 Collection period: Date from Date to 26 April 2015 12 June 2015 Grant numbers: Project 600623 Publication date: 2016 Resource language: English Metadata language: English Research project title: Spatio-Temporal Representation and Activities for Cognitive Control in Long-Term Scenarios (STRANDS) Publisher: University of Leeds Contact Email Address: scpd@leeds.ac.uk Last Modified: 20 Apr 2017 11:51

Files

Documentation

Readme documentation [1kB] Readme documentation [1kB] Readme documentation [1kB] Visible to: Anyone File name: README.txt Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Maps [17kB] Maps [17kB] Maps [17kB] Visible to: Anyone File name: g4s_maps.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 17kB

Trajectory data [1GB] Trajectory data [1GB] Trajectory data [1GB] Visible to: Anyone File name: G4s_people_trajectory.db.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1GB Note: Please note: the size of the contents of this zip file may misreported in Microsoft Windows. It is recommended that a third-party zip application is used if trying to extract the contents on a PC running Microsoft Windows.

Semantic object data [63kB] Semantic object data [63kB] Semantic object data [63kB] Visible to: Anyone File name: g4s_soma.db Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 63kB

Semantic region data [32kB] Semantic region data [32kB] Semantic region data [32kB] Visible to: Anyone File name: g4s_soma_roi.db Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 32kB

ROS message definitions [831B] ROS message definitions [831B] ROS message definitions [831B] Visible to: Anyone File name: message_defs.zip Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 831B