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Algebraic, logical and stochastic reasoning for the automatic prediction of 3d building structures
(2021-01-26)
3D building models are nowadays an important prerequisite for many applications such as rescue management or navigation tasks. However, most approaches for the automatic reconstruction of buildings rely on high-resolution ...
Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes
(2011-08-19)
The task of wide baseline stereo matching algorithms is to identify corresponding elements in pairs of overlapping images taken from significantly different viewpoints. Such algorithms are a key ingredient to many computer ...
Grouping Uncertain Oriented Projective Geometric Entities with Application to Automatic Building Reconstruction
(2007)
The fully automatic reconstruction of 3d scenes from a set of 2d images has always been a key issue in photogrammetry and computer vision and has not been solved satisfactory so far. Most of the current approaches match ...
Methodische Probleme bei der Erstellung von Unkrautverteilungskarten mit Geoinformationssystemen (GIS)
(2005)
Die vorliegende Arbeit befaßt sich mit den methodischen Problemen, die bei der Erstellung von Unkrautverteilungskarten mit Geoinformationssystemen (GIS) auftreten können. Im Vordergrund steht dabei die Frage nach der ...
Statistical relational learning of semantic models and grammar rules for 3D building reconstruction from 3D point clouds
(2016-11-04)
Formal grammars are well suited for the estimation of models with an a-priori unknown number of parameters such as buildings and have proven their worth for 3D modeling and reconstruction of cities. However, the generation ...
Robot Mapping and Navigation in Real-World Environments
(2018-11-27)
Robots can perform various tasks, such as mapping hazardous sites, taking part in search-and-rescue scenarios, or delivering goods and people. Robots operating in the real world face many challenges on the way to the ...
Extrinsic Calibration and Ego-Motion Estimation for Mobile Multi-Sensor Systems
(2018-12-20)
Autonomous robots and vehicles are often equipped with multiple sensors to perform vital tasks such as localization or mapping. The joint system of various sensors with different sensing modalities can often provide better ...
A global drought monitoring framework using GRACE/-FO data assimilation
(2024-12-09)
Extreme climate phenomena like droughts can lead to a shortage of available water resources that in turn can cause serious consequences such as famines. Monitoring of extremes is extremely important, and past research ...
Robotic Vision for Precision Intervention in Horticulture
(2025-01-20)
Striving towards optimal sustainable agriculture systems to address the world’s growing demand for food, precision agriculture has emerged as a key strategy. In recent years robotic systems have gained remarkable capabilities ...
Data-driven Image Generation for Crop Growth Modeling
(2025-01-09)
Crop growth models play a crucial role in agriculture as they help to understand how crops grow and thrive. They allow farmers to predict how much harvest they can expect, which is important when planning, storing, and ...