Master thesis at Fraunhofer IPM in Freiburg focusing on integrating explainability into training pipelines for 3D scene understanding. Explores explainability approaches such as 3D uncertainty estimation or concept bottleneck models, applied to domain-specific benchmarks to improve robustness and transparency of 3D point cloud solutions. Responsibilities include literature review, implementing algorithms, working with existing pipelines, conducting tests/experiments, and documenting findings; thesis to be written on this topic; English or German communication required; enrolled in a STEM master's program.
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