Master's Thesis: Algorithm Development for In-Field Sharpness Measurement using Traffic Signs
vor 4 Wochen
At the Fraunhofer Application Center, we are dedicated to designing the mobility of the future in a safer, more efficient, and resource-saving way. Our research focuses on automated and cooperative driving, combining competencies in sensor technology, communication, and artificial intelligence. We are seeking motivated students to work on a master's thesis project in the field of machine learning/computer vision. The primary goal is to develop an algorithm that accurately and efficiently evaluates the sharpness of images captured by automotive cameras, with a focus on traffic signs. This is crucial for ensuring optimal image clarity, given the increasing reliance on car cameras for applications ranging from autonomous driving to traffic surveillance.
Requirements
- Enrolled in a relevant field 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, and aberrations
- Motivation and ability to work in a team
- Initiative and creativity
- Very good grades
What You Can Expect
- Versatile 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. At the institute's sites in Dresden, Ingolstadt, and Berlin, Fraunhofer IVI's researchers are developing technologies and concepts for mobility, energy, as well as safety and security – from forward-looking preliminary research to practical applications in everyday use. The institute collaborates closely with TU Dresden, TU Bergakademie Freiberg, and Technische Hochschule Ingolstadt.
We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation, and identity. Severely disabled persons are given preference in the event of equal suitability. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
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Ingolstadt, Bayern, Deutschland Fraunhofer-Gesellschaft VollzeitAt the Fraunhofer Application Center »Connected Mobility and Infrastructure«, we are seeking a motivated student to work on a master's thesis project focused on developing an algorithm for evaluating the sharpness of images captured by automotive cameras, with a focus on traffic signs. This project is part of our ongoing research in machine learning and...
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