Algorithm Development for In-Field Sharpness Measurement Using Traffic Signs

vor 4 Wochen


Ingolstadt, Bayern, Deutschland Fraunhofer-Gesellschaft Vollzeit

At the Fraunhofer Application Center »Connected Mobility and Infrastructure«, we are dedicated to investigating and developing concepts to design the mobility of the future in a safer, more efficient, and resource-saving way. Our research focuses on automated and cooperative driving, combining a wide range of competencies in sensor technology, communication, and artificial intelligence. We use synergies with local industry and work closely with the city of Ingolstadt and its partners.

Job Description

We are seeking motivated students to write their final thesis in the field of machine learning/computer vision. The primary goal of this master's thesis is to develop an algorithm that can accurately and efficiently evaluate the sharpness of images captured by automotive cameras, with a focus on traffic signs. Given the increasing reliance on car cameras for applications ranging from autonomous driving to traffic surveillance, ensuring optimal image clarity is crucial. Traffic signs, with their standardized design and critical importance for navigation, are ideal reference points for this process.

Requirements

  • Enrolled in one of the following or related fields of study: 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

What We Offer

  • Valuable and practical projects
  • Professional supervision
  • Motivated teams in an open-minded working atmosphere
  • A modern research infrastructure
  • Flexible working hours

Fraunhofer is Europe's largest application-oriented research organization. Our research efforts are geared entirely to people's needs: health, security, communication, energy, and the environment. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas.



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