Essays about: "Computer Applications"
Showing result 1 - 5 of 734 essays containing the words Computer Applications.
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1. Automatic Semantic Segmentation of Indoor Datasets
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. READ MORE
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2. 3D/VR - Data flow visualization
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This thesis delves into the realm of Virtual Reality (VR) to explore its potential for visualizing data flows in intricate systems. Focused on the transition from conventional 2D representations to immersive 3D experiences, the study employs Unity and Oculus Quest 2 for prototyping. READ MORE
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3. Movement Estimation with SLAM through Multimodal Sensor Fusion
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. READ MORE
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4. Incremental Re-tokenization in BPE-trained SentencePiece Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. READ MORE
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5. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections
University essay from Lunds universitet/Matematik LTHAbstract : The rapid evolution of machine learning techniques has revolutionized computer vision, particularly with the introduction of Neural Radiance Fields (NeRF) and the optimization of 3D Gaussians for rendering novel scene views. These methods, such as NeRF and Gaussian Splatting, have demonstrated success in synthetic data scenarios with consistent lighting and well-captured scenes. READ MORE