{ontime:-'2020-06-19'} [Grafik: ika-Meetup]{/ontime}

{ontime:'2020-06-19'}[Grafik: ika-Meetup]{/ontime}

Our Meetup series for interested parties presents and discusses current, practice-relevant research topics in the field of future mobility.

Certainly Unknown
Application of Neural Network Uncertainties in Automated Driving

Daniel Bauer (Ford RIC)

In recent years, methods from the field of deep learning have become established for many applications. There are also various use cases for automated driving, ranging from perception of the environment to prediction of other road users and path planning. However, one of the major points of discussion when using deep learning methods is the interpretability of the prediction results.

Daniel Bauer will explain in his talk what contribution estimating uncertainties can make to shed some light on the black box neural network.

[Foto: Christian Roth]

Daniel Bauer

  • Is a doctoral student at the Ford-Werke GmbH in cooperation with the ika
  • deals with stochastic environmental perception using artificial neural networks with focus on radar and camera-based free space detection

The event starts at 18:00 hrs, the talk will be held in German.{ontime:-'2020-06-18'}
Registration is requested.{/ontime}

{ontime:-'2020-06-18'} to registration{/ontime}


Timo Woopen M.Sc.
Manager Research Area Vehicle Intelligence & Automated Driving
+49 241 80 23549


You can find the livestream of the digital ika-Meetup here.



to registration



Institute for Automotive Engineering (ika)
RWTH Aachen University

Steinbachstraße 7
52074 Aachen · Germany

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+49 241 80 25600
+49 241 80 22147