Essays about: "spatial accuracy"
Showing result 31 - 35 of 255 essays containing the words spatial accuracy.
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31. ESPRIT for DOA estimation
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Radar is a tool that has had a tremendous impact since its discovery. This thesis evaluates an algorithm called ESPRIT. ESPRIT is used in radar to estimate the angles to detected objects. The angle of an object is referred to as its DOA (Direction of arrival). READ MORE
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32. Digital Model of a Mining Stacker for Material Tracking : Modelling a Mining Stacker with Forward Kinematics for Material Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Fourth Industrial Revolution is reshaping the manufacturing industry with the emergence of interconnectivity, smart automation, and cyber-physical systems. A popular example of cyber-physical systems is the digital twin or digital model, which both create a virtual (cyber) representation of a system. READ MORE
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33. Data Reduction and Analysis with the MPRu instrument for Neutron Emission Spectroscopy at JET
University essay from Uppsala universitet/Tillämpad kärnfysikAbstract : This research project centres on advancing data analysis techniques using the Magnetic Proton Recoil Upgrade Neutron Spectrometer (MPRu) for neutron emission spectroscopy during the deuterium tritium experimental campaign (DTE2) at the Joint European Torus (JET). The study aimed to address three pivotal questions, each with implications for optimizing data accuracy, quality, and utility. READ MORE
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34. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. READ MORE
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35. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. READ MORE