Sökning: "Camera techniques"
Visar resultat 1 - 5 av 200 uppsatser innehållade orden Camera techniques.
1. Machine Learning for Spatial Positioning for XR Environments
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : This bachelor's thesis explores the integration of machine learning (ML) with sensor fusion techniques to enhance spatial data accuracy in Extended Reality (XR) environments. With XR's revolutionary impact across various sectors, accurate localization in virtual environments becomes imperative. LÄS MER
2. Quantum Optical Description of High-order Harmonic Generation
Master-uppsats, Lunds universitet/Atomfysik; Lunds universitet/Fysiska institutionenSammanfattning : High-order Harmonic Generation (HHG) is a highly non-linear process in which an atom interacts with a strong laser field. The laser field lowers the atomic potential barrier allowing bound electrons to escape into the continuum through tunnel ionization, propagate, and, with some probability, recombine with the parent ion. LÄS MER
3. Monitoring of Partial Discharges on Cable Terminations : An experimental approach to evaluate non-conventional online PD measurement techniques
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The transmission of electric power over long distances has historically posed challenges. However, the advent of high-voltage engineering has not only addressed distance barriers and power losses in electricity transmission and distribution, but it has also significantly improved the efficiency and transmission capacity of power grids. LÄS MER
4. Detecting Successful Throws
Uppsats för yrkesexamina på grundnivå, Örebro universitet/Institutionen för naturvetenskap och teknikSammanfattning : This project aims to create a robot system that can accurately figure out if the throws are successful. This can help make various industrial tasks more efficient. The system uses implemented methods to process data from fisheye camera data and depth sensor data, to check the quality of the throws. LÄS MER
5. MmWave Radar-based Deep Learning Collision Prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Autonomous drone navigation in classical approaches typically involves constructing a map representation and employing path planning and collision checking algorithms within that map. Recently, novel deep learning techniques combined with depth camera observations have emerged as alternative approaches capable of achieving comparable collision-free performance. LÄS MER