Master Thesis in Monocular Depth Estimation for Autonomous Drones using Deep Learning

vor 3 Wochen

Ingolstadt, Bayern, Deutschland Fraunhofer-Gesellschaft Vollzeit
Job Description

We are seeking an exceptional student to work on a master thesis project in the field of Computer Vision and Deep Learning, focusing on monocular depth estimation for autonomous drones. The project will involve developing cutting-edge methods for monocular depth estimation, which will be applied in the environment perception of autonomous drones.

Responsibilities
  • Develop and implement novel methods for monocular depth estimation
  • Apply deep learning techniques to improve the accuracy and robustness of depth estimation
  • Integrate the developed methods into the environment perception system of autonomous drones
  • Conduct thorough evaluations and comparisons of the proposed methods
Requirements
  • Student of Computer Science, Mathematics, Physics, Electrical and Information Engineering, or a related field
  • Strong background in Deep Learning and Computer Vision
  • Excellent academic performance
  • Proficiency in Python programming
  • Experience with frameworks like PyTorch and/or TensorFlow
  • Own work in the field of Computer Vision
  • Deep understanding of neural networks and transformer architectures
  • Structured, self-dependent, and result-oriented work style
  • Ambition, creativity, and commitment in the daily work routine
  • High motivation and ability to work in a team
What We Offer
  • Challenging tasks in cutting-edge and application-relevant subject areas
  • Interdisciplinary research on promising technologies
  • Professional supervision
  • Adequate remuneration
  • A modern research infrastructure
  • Flexible working hours
  • A young, dynamic team in an open and friendly working environment

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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