Essays about: "fast vinkel"
Showing result 1 - 5 of 21 essays containing the words fast vinkel.
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1. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. READ MORE
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2. Motion tracking for virtual reality using inertial motion sensors
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Human motion capture has until recently been dominated by camera-based solutions. With advancements within Micro Electro-Mechanical Systems (MEMS) technology new Inertial Measurement Unit (IMU) based solutions are being explored. This thesis explores the possibility of using IMUs for augmenting motion tracking for Virtual Reality (VR). READ MORE
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3. Underwater Thrust Vectoring
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Denna uppsats kommer att titta på designen för ett undervattensrörelse och kontrollsystem för en mindre forskningsubåt som kallas SAM. Denna ubåt delar många liknelser med andra autonoma undervattensfordon mer specifikt dennes tub liknande design. Där SAM skiljer sig från normen är hur den styr under vattnet. READ MORE
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4. Quantum mechanical modelling and electrochemical stability of sodium based glassy electrolyte for all-solid-state batteries
University essay from KTH/MaterialvetenskapAbstract : Increasing energy demand draws attention to new materials for improving current energy storage technologies. Particular interest is directed at solid state batteries and glass Na3ClO electrolyte is a promising candidate. READ MORE
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5. Matching handwritten notes using computer vision and pattern matching
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : What people take for granted is not as easy for computers. Being able tojudge whether an image is the same even though it has a differentresolution or is taken from a different angle or light condition is easyfor humans but much more difficult for computers. READ MORE