Masterarbeit - Explainability for 3D scene understanding
About this role
The Fraunhofer-Gesellschaft (www.fraunhofer.de) 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 engineering, science, administration, and IT. They know: Anyone who joins Fraunhofer wants to and can make a difference. For themselves, for us, and for the markets of today and tomorrow.
At the Fraunhofer Institute for Physical Measurement Techniques IPM, we work every day to make optical technologies usable for specific measurement tasks. At the intersection of science, research, and industry, we develop customized solutions and stand for application-oriented research at the highest level.
In the Object and Shape Detection department, we develop mobile measurement systems for surveying infrastructure ranging from roads and railways to complex indoor environments. Our development process covers every step. From design and engineering to system integration and automatic interpretation of measurement data. A cornerstone of our systems is the automated, AI-driven interpretation of 3D point cloud data, which requires high-quality training datasets and, ideally, model interpretability.
The primary objective of the thesis is to integrate explainability-driven approaches into the training pipeline. These approaches can be based on 3D uncertainty estimation to identify specific spatial regions or concept bottleneck models to analyze intermediate model representations. These are just examples—the thesis is not strictly limited to these approaches. By applying these methods to different domain-specific benchmarks, the resulting thesis will bridge the gap between model interpretability and dataset quality, providing robust, efficient, and transparent 3D point cloud solutions.
Be part of change
- You will research the state of the art in the field of explainability for 3D models.
- You will implement algorithms and/or 3D models for explaining training processes.
- You will work with existing software and established pipelines.
- You will conduct tests and experiments and evaluate the results.
- You will carefully document your findings.
- You will write your master's thesis on this topic.
Company at a glance
Fraunhofer IGD is the international leading institute for applied research in visual computing. Visual computing is image- and model-based information technology and includes computer graphics and computer vision, as well as virtual and augmented reality.
In simple terms, the Fraunhofer researchers in Darmstadt, Rostock, and Kiel are turning information into images and extracting information from images. In cooperation with its partners, technical solutions and market-relevant products are created.
Prototypes and integrated solutions are developed in accordance with customized requirements. In doing so, Fraunhofer IGD places users at the forefront, providing them with technical solutions to facilitate computer work and make it more efficient.
Owing to its numerous innovations, Fraunhofer IGD raises man-machine interaction to a new level. Man is able to work in a more result-oriented and effective way by means of the computer and visual computing developments.
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