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FR
Fraunhofer-Gesellschaft
last mo.

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

Stuttgart
Full-timeInternshipOn-site

Description

In this role, you will develop a cutting-edge algorithm that combines geometric and semantic data to enhance outdoor navigation for autonomous robots. Your work will involve testing and refining this technology in real-world environments to ensure effective real-time performance.

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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

Education

Bachelor's degree
OR
Currently in higher education

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

Tools & Technologies

C/C++ROS

Languages

English – Business Fluent

German – Business Fluent

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