CoDrive: improving automobile positioning via collaborative driving
- Submitting institution
-
Imperial College of Science, Technology and Medicine
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2213
- Type
- E - Conference contribution
- DOI
-
10.1109/INFOCOM.2018.8486281
- Title of conference / published proceedings
- IEEE Conference on Computer Communications
- First page
- 72
- Volume
- 2018-April
- Issue
- -
- ISSN
- 0743-166X
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
10.1109/INFOCOM.2018.8486281
- 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
-
2
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The CoDrive system provides equivalent accuracy of a sensor-rich car in a legacy car. We approach this as an optimisation problem, aiming to minimise GPS errors of a legacy car on an opportunistic encounter with a sensor-rich car. The first author won the “Best in Class” award (highest award given) as a result of presenting this work at the 2016 Intern Project Fair at Hewlett-Packard Enterprise. This work resulted in a US patent submitted by HPE (HPE, contact: FoEREF@ic.ac.uk; US 10,380,889B2). Infocom‘18 acceptance rate: 19%/1606; received best in session presentation award.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
