06-19-2020 08:00 h,

Certainly Unknown

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

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.

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}