{ontime:-'2020-06-19'} {/ontime}
{ontime:'2020-06-19'}{/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
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.
The event starts at 18:00 hrs, the talk will be held in German.{ontime:-'2020-06-18'}
Registration is requested.{/ontime}
Timo Woopen M.Sc.
Manager Research Area Vehicle Intelligence & Automated Driving
+49 241 80 23549
Email
You can find the livestream of the digital ika-Meetup here.
{ontime:-'2020-06-18'}This website uses cookies to manage authentication, navigation, and other functions. By using our website, you agree that we can place these types of cookies on your device.
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
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