Master Student Electrical Engineering, Computer Science or similar (f/m/x)

Camera-based visual localization is highly suitable for navigation in urban areas and could be an effective solution for takeoff/landing navigation in UAM. In visual localization tasks, camera calibration is an essential step and the error in camera intrinsic parameters will be propagated into the pose estimates. The quality of the calibration directly affects the localization performance. Although the state-of-the-art camera calibration method has been proven to work well, there are still some unavoidable errors in the estimated camera intrinsic parameters. If the calibration error is overly optimistically considered or even ignored in vision-based navigation, it can lead to integrity risks in safety critical applications. Therefore, it is important to model the calibration error appropriately in order to improve the performance of camera pose/motion estimation in terms of accuracy and integrity. Join us in addressing this challenge. Based on our ongoing research, you will develop reliable fisheye calibration, analyze and estimate the calibration errors.

We offer a pleasant working atmosphere in a successful research and development group, state-of-the-art equipment and an environment with national and international corporations. Flexible working hours and an individual arrangement for mobile working are a matter of course for us. If we have made you curious, we look forward to getting to know you!

The task includes…

  • development and analysis of innovative methods for fisheye camera calibration
  • implementation and validation of the developed methods through simulations and tests
  • error analysis and modeling of calibration results

Your qualifications:

  • master students in engineering (e.g. electrical engineering, computer science and communication engineering) or others relevant to the job (e.g. mathematics)
  • solid knowledge in mathematics and statistics as well as estimation theory
  • solid knowledge in visual navigation
  • demonstrable knowledge of the Python programming language
  • very good knowledge of English
  • knowledge of the programming languages C/C++ is a plus
  • knowledge of ROS 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.

DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt

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Deadline: 2023-04-15
Location: Germany, Oberpfaffenhofen
Categories: Communication Engineering, communication skills, Computer Engineering, Computer Sciences, Electrical Engineering, Mathematics, Student Assistants,


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