Study/final thesis: Dynamic Obstacle Prediction for Autonomous Outdoor Navigation

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City: Stuttgart

Date: Oct 14, 2026

Study/final thesis: Dynamic Obstacle Prediction for Autonomous Outdoor Navigation

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, mobile robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development of autonomous outdoor navigation solutions as well as the hardware of the robots.

Be part of change

Autonomous navigation in dynamic environments and higher speeds create challenges to typical mobile robots. To ensure safe and efficient path planning the robot must predict the future movement of dynamic obstacles and integrate that into its world understanding. This includes classifying the obstacle into typical dynamic obstacles like pedestrians, bikes, and vehicles based on LiDAR and/or camera data, predicting a realistic and/or conservative movement corridor and integrate this information efficiently into ROS2 costmaps. An important integration requirement lies in the compatibility with the ROS2 Nav2 Stack, which is widely used in the state of art of mobile robotics navigation.

First, you will select a suitable state-of-the-art detection and classification approach based on LiDAR and/or camera data. But your focus lies on the prediction and map integration part of the pipeline. Therefore, you will investigate different types of predictions like intent prediction, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic predictions must then be integrated into a map representation to be included and used in the path planning of the robot. An important integration requirement lies in the compatibility with the ROS2 Nav2 Stack, which is widely used in the state of art of mobile robotics navigation. You will implement your solution inside our ROS2, C++ navigation stack and validate it both in simulation and in 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.

Recruiting

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

Requisition Number: 85217

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

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