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Visar resultat 16 - 20 av 203 uppsatser som matchar ovanstående sökkriterier.
16. Arbitrary motion Synthetic Aperture Radar
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Syftet med denna avhandling är att utveckla en ny metod för att producera bilder med syntetisk aperturradar (SAR), med utgångspunkt i scenarier med arbiträr rörelse vad gäller radarsensorn. SAR är en väletablerad metod för att skapa 2- eller 3-dimensionella radarbilder, som traditionellt sett antar att radar-sensorns rörelse är linjär och förutsägbar. LÄS MER
17. Virtual alignment of real-world objects
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : High accuracy localization of objects is a crucial function for many modern applications, such as virtual and augmented reality, robotics, and self-driving cars, among others. This requires determining precise location of objects indoors, which is a challenging task. LÄS MER
18. Power dynamics and order formation in mobile MOBA games : a Foucauldian analysis of "Honor of Kings"
Master-uppsats, Lunds universitet/Medie- och kommunikationsvetenskap; Lunds universitet/Institutionen för kommunikation och medierSammanfattning : Video games can be seen as a media that immerses players. The formation of a good game order is an important guarantee for players to engage in electronic games. This paper selects the most popular mobile MOBA game in China, "Honor of Kings," as the research object to analyze the formation process of the game order. LÄS MER
19. Reachability Analysis for Occlusion Reasoning in Realistic Autonomous Driving Scenarios
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this Bachelor Thesis, we tackle a crucial issue in autonomous driving technology - the detection and reasoning of occluded areas and potential occluded vehicles in realistic scenarios. Autonomous driving has gained significant momentum in recent years, but ensuring safety remains a major concern. LÄS MER
20. Using a Deep Generative Model to Generate and Manipulate 3D Object Representation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The increasing importance of 3D data in various domains, such as computer vision, robotics, medical analysis, augmented reality, and virtual reality, has gained giant research interest in generating 3D data using deep generative models. The challenging problem is how to build generative models to synthesize diverse and realistic 3D objects representations, while having controllability for manipulating the shape attributes of 3D objects. LÄS MER