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FRFraunhofer-Gesellschaft

Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)

Stuttgart
Full-timeInternshipOn-site

Designing and testing multi-modal traversability algorithms for autonomous outdoor navigation, fusing LiDAR and RGB data. Enrollment at a German university, C/C++ programming, and ROS experience required. Thesis project at applied research organization with 76 institutes.

Requirements

  • Field of study in automation technology, electrical engineering, computer science, cybernetics, mechatronics, control engineering, software design, software engineering, technical computer science, or comparable
  • Enrollment at a German university/Hochschule
  • Background in computer science, software engineering, mechatronics, or similar
  • Programming knowledge and experience with C/C++
  • Experience with ROS
  • Analytical mindset
  • Enthusiasm for mobile robotics
  • Fluency in English or German

Tasks

  • Design a traversability estimation algorithm
  • Fuse geometric information from LiDAR elevation maps with semantic annotations from RGB images
  • Evaluate the effectiveness of different fusion strategies
  • Analyze traversability scores generated by independent sensor modalities
  • Test the algorithm's accuracy and real-time performance in real-world scenarios
  • Deploy the algorithm using recorded data and mobile CURT robots

Education

  • Currently in higher educationOR
  • Bachelor's degree

Languages

  • EnglishBusiness Fluent
  • GermanBusiness Fluent

Tools & Technologies

  • C/C++
  • ROS
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