Research Data Leeds Repository

STRANDS people trajectories - G4S deployment

Citation

Duckworth, Paul and Jovan, Ferdian and Kunze, Lars (2016) STRANDS people trajectories - G4S deployment. University of Leeds. [Dataset] https://doi.org/10.5518/34¹

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 intelligence2 H000 - Engineering > H600 - Electronic & electrical engineering > H670 - Robotics & cybernetics > H671 - Robotics3
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing4
Related resources:	Location Type https://doi.org/10.3233/978-1-61499-672-9-10625 Publication https://eprints.whiterose.ac.uk/95870/6 Publication https://etheses.whiterose.ac.uk/18850/7 Ethesis
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	10 May 2016 15:59
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/448
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/0000-0001-9052-69199 University of Leeds https://ror.org/024mrxd33 ror Jovan, Ferdian https://orcid.org/0000-0003-4911-540X10 University of Birmingham https://ror.org/03angcq70 ror Kunze, Lars https://orcid.org/0000-0001-5302-193811 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@leeds.ac.uk12 Last Modified: 22 Aug 2024 12:09

Files

Documentation

Readme documentation [1kB] 13 Readme documentation [1kB] 14 Readme documentation [1kB] 15 Security: Anyone File name: README.txt16 Content type: Documentation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Data

Maps [17kB] 17 Maps [17kB] 18 Maps [17kB] 19 Security: Anyone File name: g4s_maps.zip20 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 17kB

Trajectory data [1GB] 21 Trajectory data [1GB] 22 Trajectory data [1GB] 23 Security: Anyone File name: G4s_people_trajectory.db.zip24 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] 25 Semantic object data [63kB] 26 Semantic object data [63kB] 27 Security: Anyone File name: g4s_soma.db28 Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 63kB

Semantic region data [32kB] 29 Semantic region data [32kB] 30 Semantic region data [32kB] 31 Security: Anyone File name: g4s_soma_roi.db32 Content type: Data License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 32kB

ROS message definitions [831B] 33 ROS message definitions [831B] 34 ROS message definitions [831B] 35 Security: Anyone File name: message_defs.zip36 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 831B

• 1. https://doi.org/10.5518/34
• 2. https://archive.researchdata.leeds.ac.uk/view/subjects/I400.html
• 3. https://archive.researchdata.leeds.ac.uk/view/subjects/H671.html
• 4. https://archive.researchdata.leeds.ac.uk/view/divisions/SC/
• 5. https://doi.org/10.3233/978-1-61499-672-9-1062
• 6. https://eprints.whiterose.ac.uk/95870/
• 7. https://etheses.whiterose.ac.uk/18850/
• 8. https://archive.researchdata.leeds.ac.uk/id/eprint/44
• 9. https://orcid.org/0000-0001-9052-6919
• 10. https://orcid.org/0000-0003-4911-540X
• 11. https://orcid.org/0000-0001-5302-1938
• 12. mailto:scpd@leeds.ac.uk
• 13. https://archive.researchdata.leeds.ac.uk/44/7/README.txt
• 14. https://archive.researchdata.leeds.ac.uk/44/7/README.txt
• 15. https://archive.researchdata.leeds.ac.uk/44/7/README.txt
• 16. https://archive.researchdata.leeds.ac.uk/44/7/README.txt
• 17. https://archive.researchdata.leeds.ac.uk/44/2/g4s_maps.zip
• 18. https://archive.researchdata.leeds.ac.uk/44/2/g4s_maps.zip
• 19. https://archive.researchdata.leeds.ac.uk/44/2/g4s_maps.zip
• 20. https://archive.researchdata.leeds.ac.uk/44/2/g4s_maps.zip
• 21. https://archive.researchdata.leeds.ac.uk/44/3/G4s_people_trajectory.db.zip
• 22. https://archive.researchdata.leeds.ac.uk/44/3/G4s_people_trajectory.db.zip
• 23. https://archive.researchdata.leeds.ac.uk/44/3/G4s_people_trajectory.db.zip
• 24. https://archive.researchdata.leeds.ac.uk/44/3/G4s_people_trajectory.db.zip
• 25. https://archive.researchdata.leeds.ac.uk/44/4/g4s_soma.db
• 26. https://archive.researchdata.leeds.ac.uk/44/4/g4s_soma.db
• 27. https://archive.researchdata.leeds.ac.uk/44/4/g4s_soma.db
• 28. https://archive.researchdata.leeds.ac.uk/44/4/g4s_soma.db
• 29. https://archive.researchdata.leeds.ac.uk/44/5/g4s_soma_roi.db
• 30. https://archive.researchdata.leeds.ac.uk/44/5/g4s_soma_roi.db
• 31. https://archive.researchdata.leeds.ac.uk/44/5/g4s_soma_roi.db
• 32. https://archive.researchdata.leeds.ac.uk/44/5/g4s_soma_roi.db
• 33. https://archive.researchdata.leeds.ac.uk/44/6/message_defs.zip
• 34. https://archive.researchdata.leeds.ac.uk/44/6/message_defs.zip
• 35. https://archive.researchdata.leeds.ac.uk/44/6/message_defs.zip
• 36. https://archive.researchdata.leeds.ac.uk/44/6/message_defs.zip