Geometry-based Localization for GPS Outage in Vehicular Cyber Physical Systems
- Submitting institution
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University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22063950
- Type
- D - Journal article
- DOI
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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
-
-
- 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
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7
- Research group(s)
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F - Cyber Security and Network Systems (CyberNets)
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Inspired by the challenging GPS outage problems in growing urban environments with high-rise buildings, multi-level flyovers, this paper introduced and demonstrated a new geometry-based localization in vehicular cyber-physical systems environments (GeoLV). The work led to a project on reliable vehicle location estimation used by a green transport enabler, CleanCar (https://cleancar.io/ Alexander Baker, CEO, alex@cleancar.io). This research has also led to featured invited talk at Smart Nottingham Workshop (28-Nov-2018). Furthermore, it has also led to three international invited talks at Tianjin University, China 19-Dec-2018; Galgotias University, India 16-March-2018; Jawaharlal Nehru University, India – 19-March-2018).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -