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CONFERENCE REPORT
3 International ATZ Conference
rd
Driver Assistance Systems –
From Assistance to Automated Driving
© Uli Regenscheit | ATZlive
The long-term goals and benefits of automated driving functions are not being called into question,
but the first market launches do deserve closer inspection, as happened at the ATZ Driver Assistance
Systems Conference from 26 to 27 April 2017 in Frankfurt on Main (Germany). The conference was
th
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supported by Continental and Etas.
BREAKING UP ANTIQUATED “We are at a tipping point”, said scalability of functions, the ability to
STRUCTURES Dr. Thomas M. Müller in his opening update via the Cloud, and make systems
speech. The new Audi electronic boss “reusable”. “I am astonished to see that
Automotive manufacturers are equipping focussed his talk on technical challenges many suppliers have not understood this
themselves for a new age of driving, that can only be mastered with far- yet”, said Müller, who moved from Volvo
mainly enabling functionality in defined reaching decisions on a management to Audi in December 2016 to take the
situations where danger is imminent. level and with a re-structuring of auto- position of Head of Electronics there.
Today, the driver has to continuously motive process chains. Antiquated struc- Several of the important and established
monitor the helpful assistance functions tures need to be broken up. “We need to suppliers could see new players from the
such as lane control and lane change get on with implementing the much-dis- start-up scene joining them. Other confe-
assistance, without any form of distrac- cussed separation of hardware and soft- rence participants in Frankfurt voiced
tion. As early as the end of this year, ware”, Müller emphasised. This will only their conviction that “the cards will be
the first finely delineated and very much be possible with completely new, so- shuffled anew”. Security and big data
non-self-explanatory levels will permit called end-to-end on-board network knowledge are two further important
the first drive distractions. architectures that will finally allow the topics that include deep learning and
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