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Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
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
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- C/C++
- ROS
Not a perfect match?
- Fraunhofer-GesellschaftFull-timeInternshipOn-siteStuttgart
- Fraunhofer-Gesellschaft
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Master Thesis - Multi-modal traversability estimation for Autonomous Outdoor Navigation(m/w/x)
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
- English – Business Fluent
- German – Business Fluent
Tools & Technologies
- C/C++
- ROS
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
- Fraunhofer-Gesellschaft
Master Thesis - Multi-session global traversability Mapping for Autonomous Outdoor Navigation(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Master Thesis - Out-of-distribution detection + annotation for traversability estimation for robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Bosch Group
Master Thesis Automated Driving Systems(m/w/x)
Full-timeOn-siteNot specifiedRenningen - Fraunhofer-Gesellschaft
Master Thesis - Reinforcement Learning for wheeled, bipedal robots(m/w/x)
Full-timeInternshipOn-siteStuttgart - Fraunhofer-Gesellschaft
Masterthesis - Reinforcement Learning approach for path following and base control(m/w/x)
Full-timeOn-siteNot specifiedStuttgart