Sökning: "World Vision"
Visar resultat 1 - 5 av 594 uppsatser innehållade orden World Vision.
1. Night Vision Goggle Simulation in a Mixed Reality Flight Simulator with Seamless Integrated Real World
Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenSammanfattning : Night vision goggles (NVGs) are optical devices used to enhance human vision at low light conditions such as nighttime. The image seen through the goggles is brightened but with the consequence of introduced visual limitations and illusions. LÄS MER
2. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
Kandidat-uppsats, Lunds universitet/Fysiska institutionenSammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER
3. Automatic Semantic Segmentation of Indoor Datasets
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : 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. LÄS MER
4. Jetbrandtester och vätgas : En litteratur- och intervjustudie om försök med vätgasjetflammor
Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurserSammanfattning : Vätgas är en energibärare som kan vara en av pusselbitarna i omställningen till en mer klimatneutral värld. Infrastrukturen byggs ut, industrin växer och vätgasfordon blir vanligare. LÄS MER
5. Using Neural Radiance Fields and Gaussian Splatting for 3D reconstruction of aircraft inspections
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : 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. LÄS MER