RemoteHorizon.KOM: Dynamic Cloud-based eHorizon

Konferenz: AmE 2016 – Automotive meets Electronics - 7. GMM-Fachtagung
01.03.2016 - 02.03.2016 in Dortmund, Deutschland

Tagungsband: GMM-Fb. 85: AmE 2016

Seiten: 6Sprache: EnglischTyp: PDF

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Autoren:
Burgstahler, Daniel; Xhoga, Athiona; Peusens, Christoph; Moebus, Martin; Boehnstedt, Doreen; Steinmetz, Ralf (Multimedia Communications Lab (KOM), Technische Universität Darmstadt, Germany)

Inhalt:
Vehicular driver assistance systems are commonly based on local sensor information about the vehicle surroundings. For some time past, also digital map data is used as additional predictive sensor. Current development tries to extend this so called electronic horizon (eHorizon) by the use of cloud data or even to completely provide the eHorizon as cloud service. In such a system, connected vehicles serve as information sources about their surroundings and enable continuously updates of the cloud based map data. Furthermore, it is possible to provide such an eHorizon also to vehicles without complex surroundings sensors. However, the vehicle connectivity over mobile networks requires to deal with bandwidth variations, connectivity interruptions and losses, changing packet error rates, variable latency and possible declines in the channel capacity. We propose a solution that tries to overcome the unpredictability of available connectivity. The goal is the efficient use of the available bandwidth and guarantee a minimum information quality within the vehicle. Basis is the location-based predictability of connectivity. The eHorizon is provided as a service on the server side. Transmission of the individual information segments is adapted to collaborative gathered connectivity parameters. Objective is the transmission of an eHorizon as background service with the lowest possible bandwidth consumption. The available bandwidth for other applications and services should preferably not be noticeable affected. At the same time it must be ensured to adapt the transmission accordingly and to preload more data before a vehicle enters road sections with insufficient connectivity. Within this paper we present a server-based eHorizon with adaptive transmission of the eHorizon information.