vor 9 Tagen
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#fraunhoferISE#erneuerbareEnergie#alumniNetzwerk
THESIS (MASTER) ALGORITHM DEVELOPMENT FOR IN-FIELD SHARPNESS MEASUREMENT USING TRAFFIC SIGNS
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Einführung
The Fraunhofer Application Center »Connected Mobility and Infrastructure« is looking for motivated students to write their final thesis in the field of machine learning and computer vision, focusing on developing an algorithm for evaluating image sharpness of traffic signs.
Aufgaben
- Develop an algorithm to evaluate the sharpness of images captured by automotive cameras focusing on traffic signs.
- Conduct research in the field of machine learning and computer vision.
Voraussetzungen
- Enrolled in Data Science, Electrical and Information Engineering, Physics, Aeronautical and Automotive Engineering, Computer Science, Mathematics, or Mechanical Engineering.
- Strong background in machine learning, deep learning, and/or computer vision.
- Good programming skills in Python and C++.
- Basic knowledge of optics including concepts like PSF, MTF, sharpness, aberrations, etc.
- Motivation and ability to work in a team.
- Initiative and creativity.
- Very good grades.
Benefits
- Versatile and practical projects.
- Professional supervision.
- Motivated teams in an open-minded working atmosphere.
- Modern research infrastructure.
- Flexible working hours.
vor 9 Tagen
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