Generation of navigation graphs for indoor space
- Submitting institution
-
University of Greenwich
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 13719
- Type
- D - Journal article
- DOI
-
10.1080/13658816.2015.1041141
- Title of journal
- International Journal of Geographical Information Science
- Article number
- -
- First page
- 1737
- Volume
- 29
- Issue
- 10
- ISSN
- 1365-8816
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- 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
-
1
- Research group(s)
-
-
- Citation count
- 64
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Tools for navigation in indoor spaces have lagged behind corresponding approaches to outdoor space. A key component of navigation by digital means is a navigation graph, which represents the key elements of the navigation space: paths and decision points. The paper lays the foundations for automatic generation of such graphs, thus paving the way for generating them at scale. This paper presents the main results from a three-year project, funded by the US National Science Foundation, focused on indoor and transition spaces. Dr. Yang was at the time a PhD student of Worboys, funded by the project.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
