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Achieving Cooperative Sensing in Automotive Scenarios Through Complex Event Processing

Authors:
Christoph Steup
Sebastian Zug
Jörg Kaiser

Keywords: Autonomous vehicles; Command and control; Fault-tolerance; Sensor networks.

Abstract:
The actual trend towards more driver assisting systems in automotive scenarios induces a need for additional sensory data from the environment. Those perceptions can be generated by the inherent sensor systems or by external transducers. However, these data may be affected by faults and uncertainties, which may not be obvious to other cars receiving the data. Additionally, the management and dissemination of the data between the plethora of cars on the road is a big challenge. Therefore, this paper proposes an extension to existing complex event detection systems to support fault and uncertainty aware collaborative applications. An automotive scenario was chosen to illustrate the new approach. Consequently, the requirements of automotive scenarios were described and existing complex event systems were evaluated against these requirements. The extended system is called a complex event processing system, since it tries to enable sensor processing in an highly dynamic event system. To reach this goal additional attributes are introduced to the basic event schemes. Finally the processing steps are adopted to cope with the new quality attributes validity and uncertainty.

Pages: 26 to 29

Copyright: Copyright (c) IARIA, 2013

Publication date: September 29, 2013

Published in: conference

ISSN: 2308-4278

ISBN: 978-1-61208-289-9

Location: Porto, Portugal

Dates: from September 29, 2013 to October 3, 2013