MPG ETH CLS Student Projects


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Scene Completion for Satellite Image-Based Reconstructions

Despite the impressive level of detail, reconstructions based on satellite images are typically incomplete due to restrictions on the viewing directions in image collections. The goal of this project is to develop advanced methods for completing such partial reconstructions.

Satellite imagery 3D reconstruction Neural network Deep learning Scene completion

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Simplifizierung von Dreiecksmodellen unter Berücksichtigung Geometrischer und Radiometrischer Eigenschaften

The Photogrammetry and Remote Sensing lab implemented an algorithm for the image-based reconstruction of surface meshes. Thereby an initial approximation of the surface is successively refined in a coarse-to-fine scheme.

Mesh Simplification 3D Reconstruction Airborne Images Photogrammetry Computer Vision

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Learning to predict wind flows for fixed-wing UAVs

This project will aim towards development of fast, accurate simulation approaches for predicting spatially-varying wind fields on-board a UAV.

machine learning fluid dynamics physics simulation unmanned aerial vehicles deep learning

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Learning Control

Machine learning for advanced control of intelligent systems

Control machine learning adaptive control robotics dynamic systems optimization intelligent systems

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