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December 14, 2022
10:00 am
10:45 am
(CET)

Anticipating the Future with Deep Learning

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About the session

Advanced driver-assistant systems and automated driving functions have to deal with increasing complexity as their application evolves into several areas such as multi-lane highway junctions or urban areas. One of the main challenges is the assessment of interactions between traffic participants. In order to master such complex environments, the usage of deep learning algorithms is promising. In this session I will present how we at ZF use such algorithms in order to anticipate the future behavior of traffic participants and thus, improve comfort and road safety and finally enable advanced automated driving functions.

About the speaker

Nils Murzyn
Nils Murzyn
Machine Learning Researcher at ZF Friedrichshafen AG

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14 Dec
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10:00 am
10:45 am
(CET)
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