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 interface between science, research, and industry, we develop tailor-made solutions and stand for application-oriented research at the highest level.
In the Object and Shape Detection department, mobile measurement systems are developed for surveying infrastructure ranging from roads and railways to complex indoor environments. The development process covers every step. From design and engineering to system integration and the automatic interpretation of measurement data. A cornerstone of these systems is the automated, AI-driven interpretation of 3D point cloud data, which demands high-quality, training datasets and idealy model interpretability. The primary objective of this thesis is to integrate explainability-driven approaches into the training pipeline. These could be based on 3D uncertainty estimation to pinpoint specific spatial regions or concept bottleneck models to inspect intermediate representations of the model. These are only examples, and the thesis is not strictly limited to these approaches. By applying the chosen methods to different domain-specific benchmarks, the resulting thesis will bridge the gap between model interpretability and dataset quality, delivering robust, efficient, and transparent 3D point cloud solutions.
Hier sorgst Du für Veränderung
- You research the state of the art in the field of explainability for 3D models.
- You implement algorithms and/or 3D models for explaining training processes.
- You work with existing software and established pipelines.
- You conduct tests and experiments and evaluate the results.
- You carefully document your findings.
- You 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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