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Since 1995 the annual international forum on Advanced Microsystems for Automotive Applications (AMAA) has been held in Berlin. The event offers a unique opportunity for microsystems component developers, system suppliers and car manufacturers to show and to discuss competing technological approaches of microsystems based solutions in vehicles.
The book accompanying the event has demonstrated to be an efficient instrument for the diffusion of new concepts and technology results. The present volume including the papers of the AMAA 2005 gives an overview on the state-of-the-art and outlines
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Produktbeschreibung
Since 1995 the annual international forum on Advanced Microsystems for Automotive Applications (AMAA) has been held in Berlin. The event offers a unique opportunity for microsystems component developers, system suppliers and car manufacturers to show and to discuss competing technological approaches of microsystems based solutions in vehicles.

The book accompanying the event has demonstrated to be an efficient instrument for the diffusion of new concepts and technology results. The present volume including the papers of the AMAA 2005 gives an overview on the state-of-the-art and outlines imminent and mid-term R&D perspectives. The 2005 publication reflects - as in the past - the current state of discussions within industry. More than the previous publications, the AMAA 2005 "goes back" to the technological requirements and indispensable developments for fulfilling the market needs. The large part of contributions dealing with sensors as well as "sensor technologies and data fusion" is exemplary for this tendency.

In this context a paradigm shift can be stated. In the past the development focused predominantly on the detection and processing of single parameters originating from single sensors. Today, the challenge increasingly consists in getting information of complex situations with a series of variables from different sensors and in evaluating this information. Smart integrated devices using the information deriving from the various sensor sources will be able to describe and assess a traffic situation or behaviour much faster and more reliable than a human being might be able to do.

Additional information is available on www.amaa.de


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