Essays about: "Modellering 3D"
Showing result 11 - 15 of 96 essays containing the words Modellering 3D.
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11. Augmented Reality-Assisted Techniques for Sustainable Lithium-Ion EV Battery Dismantling
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing adoption of electric vehicles (EVs) brings forth the challenge of effectively managing the second-life and end-of-life cycles for lithium-ion batteries. Augmented Reality (AR) offers a promising solution to sustainably and efficiently dismantle these batteries. READ MORE
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12. Quadcopter Control System Design and Implementation with LQR assisted by Kalman Filter: An Experimental Study
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This study stems from the audacious assumption that two bachelor students could successfully construct a functional quadcopter from scratch, covering both software and hardware aspects. The project begins by establishing a foundation for modeling the quadcopter dynamics, including derivation and linearization techniques for implementing a linear quadratic regulator (LQR). READ MORE
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13. VR och Landskapsarkitekturen : hur används den idag och hur kan den komma att användas i framtiden?
University essay from SLU/Dept. of Landscape Architecture, Planning and Management (from 130101)Abstract : Uppsatsen har utforskat användningsområden och potentialen av VR som verktyg inom Landskapsarkitekturen genom en utredning och sammanställning av olika användningar idag, samt en undersökning, och till viss grad utvärdering, av idéer kring teknologins framtid. Detta i syfte av att föra diskussionen om VR och framtidens designverktyg vidare. READ MORE
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14. Humans in the wild : NeRFs for Dynamic Scenes Modeling from In-the-Wild Monocular Videos with Humans
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent advancements in computer vision have led to the emergence of Neural Radiance Fields (NeRFs), a powerful tool for reconstructing photorealistic 3D scenes, even in dynamic settings. However, these methods struggle when dealing with human subjects, especially when the subject is partially obscured or not completely observable, resulting in inaccurate reconstructions of geometries and textures. READ MORE
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15. Deep Generative Modeling : An Overview of Recent Advances in Likelihood-based Models and an Application to 3D Point Cloud Generation
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Deep generative modeling refers to the process of constructing a model, parameterized by a deep neural network, that learns the underlying patterns and structures of the data generating process which produced the samples in a given dataset, in order to generate novel samples that resemble those in the original dataset. Deep generative models for 3D shape generation hold significant importance to various fields including robotics, medical imaging, manufacturing, computer animation and more. READ MORE