Data Science with Artificial Intelligence Methods for the Development of Highly Automated Driving Functions

  • Subject:Maschinelles Lernen, Datenanalyse, Künstliche neuronale Netzwerke
  • Type:Abschlussarbeit / HiWi / Praktikum
  • Date:offen
  • Tutor:

    M. Sc. Philipp Rigoll

Data Science with Artificial Intelligence Methods for the Development of Highly Automated Driving Functions

Datenanalyse FZI
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Environment

Machine learning methods are conquering ever larger parts of information processing. The automotive industry is also making increasing use of AI methods for the development and testing of automated driving functions. In order to train neural networks that solve these new challenges, large sample data sets are necessary. These datasets need to be analyzed and gaps identified. It is also necessary to augment the data sets with generating neural networks. A wide variety of data science techniques and methods are used in this effort.

Tasks

  • You work with real automotive data sets.
  • You develop concepts for the use of generating neural networks and methods from the field of data analytics.
  • You will implement the developed methods as prototypes and analyze the results.

Requirements

  • You have excellent programming skills in Python.
  • You have experience in the field of data science.
  • You have very good written and spoken German and English skills.