| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4962080 | Procedia Computer Science | 2016 | 6 Pages |
Abstract
In this paper we present Vehicle-2-Vehicle Elastic Network, a novel metodology that allows accurate vehicular indoor positioning based on a dead-reckoning technique via an Indoor Inertial Navigation System, aided by an elastic graph generated by a V2V-WiFi system. The received signal strength (RSS) from nearby cars is detected, and is used to improve the location via RSS-to distance information crowdsourcing.
Keywords
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Walter Balzano, Aniello Murano, Fabio Vitale,