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Course paper / final thesis

Intention Prediction Algorithm for Autonomous Vehicles

Starting date

ab sofort

Duration of contract

6 months

Type of employment

Part-time

​The state-of-the-art technology in the field of vehicle automation will lead in the next years to a mixed traffic environment in which connected and automated vehicles (CAVs) have to interact with human driven ones. In this context, it is necessary to have intention prediction models able to forecast how the traffic scenario is going to evolve in the next seconds, considering interactions between the traffic participants.

  • Development and implementation of intention prediction algorithm for autonomous vehicles.
  • Integration & testing of developed software modules.
  • Scientific evaluation, documentation, and publication of results in scientific journals, workshops, or conferences.
  • Oral presentation of scientific results at national and international conferences/events.

Your qualifications:

  • Completed academic degree in applied mathematics, control engineering, electrical engineering, computer science or comparable engineering field of study (bachelor’s degree)
  • Some experience in working independently and autonomously on complex research questions.
  • Advanced knowledge of linear algebra and optimization theory.
  • Knowledge of the object-oriented programming (C++), Linux and MATLAB is a plus.

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Giovanni Lucente
Institute of Transportation Systems

Phone: +49 531 295-1226

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Vacancy 67280

HR department Braunschweig

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DLR site Braunschweig

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DLR Institute of Transportation Systems

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