Guided Next Best View for 3D reconstruction of large complex structures
- Submitting institution
-
Kingston University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-102-1654
- Type
- D - Journal article
- DOI
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10.3390/rs11202440
- Title of journal
- Remote Sensing
- Article number
- -
- First page
- 2440
- Volume
- 11
- Issue
- -
- ISSN
- 2072-4292
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Achieving precise 3D construction, for unknown structures using rough model based methodology is an essential step in automated infrastructure inspections using unmanned aerial systems, but it is still imprecise, therefore this paper presents a new methodology that improves the 3D reconstruction accuracy. This paper is significant in developing precise 3D reconstruction methodology techniques using unmanned aerial vehicles, showing how next best view approach with a profiling stage and a novel utility function can be used to overcome the reconstruction inaccuracies. In collaboration with Brandwidth company Ltd, innovate UK grant proposal was submitted.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -