Radar based positioning for unmanned surface vehicle under GPS denial environment
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 12 - Engineering
- Output identifier
- 7111137
- Type
- D - Journal article
- DOI
-
10.1109/TITS.2017.2690577
- Title of journal
- IEEE Transactions on Intelligent Transportation Systems
- Article number
- 0
- First page
- 72
- Volume
- 19
- Issue
- 1
- ISSN
- 1524-9050
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2017
- 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
- Yes
- Number of additional authors
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A DASA award with Polaris Consulting (CDE41787) examined methods for allowing autonomous surface vessels to navigate in GPS denied areas. This is significant because modern navigation systems strongly depend on GPS availability, particularly autonomous vessels. Previous work (Leedekerken et al., Experimental Robotics, pp525-539 (2014)) used only one sensor type on inland rivers with an error of 200m in clear weather. Our approach used multiple sensors (radar, camera) and was tested in varying weather conditions in coastal waters with an error of under 30m, even in low visibility, unlike existing vision based methods (Kristian et al., Trans. On Cybernetics 46,3,pp641-654 (2016)).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -