Geometry-Based Localization for GPS Outage in Vehicular Cyber Physical Systems
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2344
- Type
- D - Journal article
- DOI
-
10.1109/TVT.2018.2796242
- Title of journal
- IEEE Transactions on Vehicular Technology
- Article number
- -
- First page
- 3800
- Volume
- 67
- Issue
- 5
- ISSN
- 0018-9545
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2018
- URL
-
https://e-space.mmu.ac.uk/619941/
- 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
-
7
- Research group(s)
-
D - Smart Infrastructure
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper provides a cheaper alternative solution for tackling GPS outages in vehicular localization for Vehicular Cyber Physical Systems (VCPS) using a geometry-based localization (GeoLV) technique. Currently GPS-free and GPS-assisted cooperative location techniques exist but are very expensive because of the cost of infrastructure. It is anticipated that this will become an important reference in the VCPS field. Mathematical geometry is used to estimate vehicle location and comparative studies for GeoLV shows improved performance than state-of-the-art techniques. This work is an example of successful collaboration with six universities including four international partners from Spain, India, Malaysia and Singapore.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -