Dlr master thesis

We are carrying out research in the field of quantum optics and quantum many-body systems using ultracold atomic and molecular quantum gases at the Max Planck Institute of Quantum Optics and the Ludwig Maximilians University.

Dlr master thesis

This research is conducted by merely utilizing LiDAR data of an interested area without another data sources such as a cadastral map or photogrammetric aerial images. In this thesis, a developed automated data-driven approach is proposed 3D building models from airborne LiDAR data starting from segmentation of the point cloud, extracting roof patches and ending with regularization of the patches boundary to extract 3D model.

Unlike photogrammetry, it is well known that LiDAR data does not record exact position of the edges of buildings. So the first challenge in this research is to extract a relatively dlr master thesis building boundaries from 3D point clouds LiDAR data and obtained results are evaluated by comparing with footprints in the cadastral map.

The second challenge is to deal with step edges among the adjacent flat roof patches even with the small height differences and solve overlapping problem in 3D space. Objectives The aim is to develop a methodology to automatically reconstruct accurate 3D model of building with different height levels from sparse point clouds, such as LiDAR data, taking into account resolution, cost and speed of the process.

Improving the reliability and geometric accuracy of 3D modeling based on LiDAR as alone source of data without using any complementary data.

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Improving 3D building reconstruction, as buildings are the key features in 3D city models. Developing the connectivity of workflow stages to overcome some common problems such as gaps in the LiDAR point clouds and the fact that LiDAR does not record the edges properly.

Shows point cloud of Munich city. Flowchart of Proposed Methodology Testing The following figures show the results of applying the main algorithms in the proposed methodology on part of test data. Represents the filtering result Region growing segmentation: Depiction of the segmentation result.

Represents the slope angle-based filtering result Concave-hull Algorithm: Extracted concave-hulls white lines of segments are plotted over the segmentation results of both areas. The final results of 3D models and footprints of parts of data are represented in the following figures.

Extracted 3D models white color are plotted over raw point cloud green color of both areas. Extracted footprints of both areas.

dlr master thesis

Conclusions The aim of this research is to design a methodology that reconstructs buildings with different height levels in urban areas using merely LiDAR data. The procedure is restricted to not require any other source of data rather than LiDAR.

This was done intentionally to avoid the limitation of availability of other sources of information in some areas. Where sources such as ground plans, satellite imagery, airborne imagery and multispectral data are not available for every desired site.

All subsequent steps filtering, segmentation, extracting roof patches, outlines extraction and regularization and building model generation are applied automatically.

The applicability of all individual processing steps were demonstrated.This is homepage of the Quantum Optics group of Immanuel Bloch at MPQ and LMU. Nov 16,  · Excellent quality of the topic. Very good support from the supervisor and from the team.

Compensation was extremely good (almost 5k for a 6 months Master Thesis project)Author: Former Intern - Master Thesis Student. Ruhr-Universität Bochum, sechstgrößte Universität in Deutschland. at: Ruhr University, Bochum It was the news of the day: Yesterday, the Joint Research Center – Interaction Modeling in Mechanized Tunneling (SFB ) was extended for four further years!

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