Master Thesis: Class-aware Pointcloud Filtering and Matching for Long-Term SLAM

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City: Stuttgart

Date: Oct 14, 2026

Master Thesis: Class-aware Pointcloud Filtering and Matching for Long-Term SLAM

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely: 30 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

Call for applications for the field of study, such as: Computer Science, Software Engineering, Mechanical Engineering, Mechatronics or similar

In the research group Navigation Mobile Robots, we develop autonomous robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots.

Be part of change

Since these outdoor applications have constantly changing environments due to weather conditions, seasonal variations, new constructions, and dynamic obstacles, the robot must continuously update its reference map of the whole environment. The localization module must understand which parts of the environment are static and which are semi-static or dynamic and update the global pointcloud reference map accordingly. Furthermore, the scan matching of the live pointclouds with this sparser global pointcloud map must be improved to get good pose estimate even with many dynamic obstacles blocking the view.

You will develop a global pointcloud mapping pipeline consisting of a pointcloud filtering approach and a pointcloud matching algorithm. The filtering approach should utilise camera-based classifications, from a sperate module, in the pointcloud data to distinguish different object types and construct and maintain a consistent global pointcloud map. The scan matching algorithm needs to be suitable for sparse environments with dynamic obstacles and must result in very few false positive matches. There already exists a basis of a 3D-LiDAR Localization module, that uses a local pointcloud map for odometry and a static global pointcloud map for absolute reference and your algorithm will replace the static global pointcloud map with your new updating global pointcloud mapping pipeline.

You will implement your solution inside our ROS2, C++ navigation stack and evaluate its performance both in simulation and in different real-world scenarios with our mobile CURT robots.

What you contribute

Valid enrollment at a German university or college

Programming knowledge and experience

Experience with ROS is a plus

Analytical mindset

Enthusiasm for mobile robotics

Fluent in English or German

What we offer

Cutting-edge technology in the field of outdoor mobile robotics

Hands on with our robots in Stuttgart

Take on responsibility and freedom to implement your own ideas

Work with the best students in their discipline

Remuneration dependent on qualifications.

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

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Fraunhofer Institute for Manufacturing Engineering and Automation IPA www.ipa.fraunhofer.de

Requisition Number: 85224

Job Segment: Computer Science, Manufacturing Engineer, Mechanical Engineer, Software Engineer, Bilingual, Technology, Engineering

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