Interactive formation control in complex environments
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22062364
- Type
- D - Journal article
- DOI
-
10.1109/TVCG.2013.116
- Title of journal
- IEEE Transactions on Visualization and Computer Graphics
- Article number
- -
- First page
- 1
- Volume
- PP
- Issue
- 99
- ISSN
- 1077-2626
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
D - Computer Vision and Natural Computing (CVNC)
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The novel formation control system proposed has led to a £124,901 project funded by Defence and Security Accelerator from the Ministry of Defence, titled "D-FOCUS: Drone-FOrmation Control for countering future Unmanned aerial Systems", with Shum as PI. Informed by this paper, such a project was a co-creation with a drone company Drone.io, Edinbrugh University and Leeds University, to deliver real-world solutions for drone formation controls. The signifiacnce in human crowd modelling is evidenced by an invited talk by the Surrey University in 2019 (invited by Adrian Hilton, a.hilton@surrey.ac.uk), titled "Human Motion Understanding for Visual Computing".
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
