A Categorization Scheme for Information Demands of Future Connected ADAS

Conference: AmE 2017 – Automotive meets Electronics - 8. GMM-Fachtagung
03/07/2017 - 03/08/2017 at Dortmund, Deutschland

Proceedings: GMM-Fb. 87: AmE 2017

Pages: 6Language: englishTyp: PDF

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Authors:
Burgstahler, Daniel; Moebus, Martin; Meuser, Tobias; Boehnstedt, Doreen; Steinmetz, Ralf (Multimedia Communications Lab (KOM), Technische Universität Darmstadt, Darmstadt, Germany)

Abstract:
Modern Advanced Driver Assistance Systems (ADAS) make use of a very high amount of sensors in the vehicle to detect the vehicle state and the vehicle’s surrounding. The general goal of all ADAS is to improve or enhance safety, driving comfort and economy. In terms of connected ADAS and together with highly precise sensor information, sharing of the detected information becomes an important feature in modern vehicles. Therefore other vehicles have a long range predictive view available to their assistance systems, also moving forward to automated driving. In our solution we present a categorization scheme for such information demands with all important restrictions concerning the distance to an upcoming event. The categorization scheme is divided in three zones: Information, Awareness and Safety. Especially in the categories safety and awareness low latencies are required for information distribution. The category relates on distances of more than 30 seconds away from an upcoming event and can therefore be used with current mobile networks. For this category we provide a fully generic and efficient data structure for information exchange, which works to the best of our knowledge with every scenario.