Master Thesis in Perception for Automated Driving - Sindelfingen, Deutschland - Mercedes-Benz AG

Mercedes-Benz AG
Mercedes-Benz AG
Geprüftes Unternehmen
Sindelfingen, Deutschland

vor 1 Woche

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter
Beschreibung

Aufgaben:


We are committed to shape the future of automotive mobility by developing highly automated driving systems for both highway and urban areas.

Our development teams in Germany and California work with state-of-the-art technologies to develop innovative and class-leading systems to provide our customers with the best experience possible.

To master this challenge, we are looking for energetic and committed master students to conduct research within our Perception Team in Stuttgart in the following area:


Since current trajectory prediction methods tend to fail in abnormal scenarios, it is of major interest to test the prediction algorithms in all possible situations.

However, the abnormal scenarios are rare and often not available in the recorded data.

Therefore, the focus of your master thesis will be on the development of learning-based scenario generation for the training and the evaluation of the prediction algorithms.

This includes the development of generative models as well as the evaluation of the quality of the generated scenes.

**Responsibilities

  • Assessment of the current stateoftheart in the area of trajectory generation
  • Development of learningbased trajectory generation algorithms using machinelearning techniques
  • Implementation of a corresponding training and evaluation concept
  • Evaluation of the scenario generation method in terms of fidelity, diversity, criticality and controllability

The final thesis selection is made in close consultation with you, the university and us.

Qualifikationen:


  • Master's student in computer science, robotics, physics, mathematics, electrical engineering or adjacent fields
  • Excellent programming skills in Python
  • Strong knowledge and indepth understanding of machine learning techniques, especially neural networks, and the corresponding software frameworks
  • Experience with Linux and development on Linux Systems
  • Fluency in spoken and written English
  • Ability to think ahead / Independence
**Preferred Qualifications
**- Knowledge in the area of generative models and motion prediction

  • Excellent communication skills and desire to work as part of a global team in a multicultural environment
  • High intrinsic motivation to perform cuttingedge research
  • Fluent proficiency in spoken and written German (optional)

Additional information:

The job will be full time at our research and development location in Sindelfingen.

  • It doesn't work completely without formalities.
Please find the criteria of empl oyment here.

  • Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
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