Developing a Strategy for Annotating Agricultural
vor 2 Monaten
In the "Field Robotics" group at Fraunhofer IPA in Stuttgart, we are an international research team passionate about developing holistic robotic systems for sustainable and future-proof agriculture in Europe. In doing so, we rely on advanced AI technology to improve food quality, protect our environment without economically disadvantaging farmers, and create sustainable pathways to regenerative and ecological agriculture.
A key technology in this context is robust and reliable navigation for autonomous outdoor robot driving. We offer you the opportunity to participate in this research in the field of environment perception for outdoor navigation.
To find a traversable path, robots need a reliable and accurate interpretation of their environment. It is important to distinguish different areas in the field, such as grasslands, vegetation, soil, and puddles, and to recognize field boundaries and obstacles. In the context of segmentation and classification tasks, a major challenge is the lack of comprehensive datasets for the different field environments and the high effort required to obtain and label the datasets.
Therefore, the goal of the master thesis is to develop a novel annotation strategy that reduces the labeling effort and is suitable for outdoor environments such as agricultural fields.
**Was Du bei uns tust**
- Get to understand the development of semi-automated data annotation strategies.
- Develop an annotation strategy for datasets in an agricultural context
- Implement the models in Python
- Evaluation on our own test fields
**Was Du mitbringst**
- Profound knowledge of different deep learning architectures, especially computer vision approaches
- Experience with deep learning frameworks such as Keras / TensorFlow / PyTorch preferred
- Experience in developing and testing deep-learning models in computer vision preferred
- Fluency in German or English
- Interest in working with mobile robots
**Was Du erwarten kannst**
- Flexible working models also for students
- Integration in small student teams
- Cake Friday and best coffee in town
- Master thesis as follow up
Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen - unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.
Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft.
**Haben wir Dein Interesse geweckt? Dann bewirb Dich jetzt online mit Deinen aussagekräftigen Bewerbungsunterlagen. Wir freuen uns darauf, Dich kennenzulernen**
Nathalie Broll
Recruiting
Tel.: +49 711 970-1053
Fraunhofer Institute for Manufacturing Engineering and Automation IPA
Kennziffer: 61694 Bewerbungsfrist:
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