Sökning: "Training simulator"
Visar resultat 1 - 5 av 127 uppsatser innehållade orden Training simulator.
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. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och systemSammanfattning : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. LÄS MER
3. Prototyping and Evaluation of a Lightweight Simulator Concept Combining Physical and Digital Assets
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Serious injuries often occur in high-risk environments such as warfare, urban combat, and traffic accidents. The medical proficiency of soldiers and first responders in these situations is paramount. LÄS MER
4. ENCOUNTERING AN EMERGENCY VEHICLE
Master-uppsats, Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeSammanfattning : Purpose: This thesis aims to investigate the effectiveness of the Emergency Vehicle Approaching (EVA) warning and training on drivers' behavior when encountering an emergency vehicle in a driving simulator. Theory: Cognitive load theory was adopted as a theoretical framework for this study. LÄS MER
5. Machine Learning model applied to Reactor Dynamics
Master-uppsats, KTH/FysikSammanfattning : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. LÄS MER