Sökning: "Indoor-positioning system"
Visar resultat 1 - 5 av 96 uppsatser innehållade orden Indoor-positioning system.
1. Book retrieval system : Developing a service for efficient library book retrievalusing particle swarm optimization
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Traditional methods for locating books and resources in libraries often entail browsing catalogsor manual searching that are time-consuming and inefficient. This thesis investigates thepotential of automated digital services to streamline this process, by utilizing Wi-Fi signal datafor precise indoor localization. LÄS MER
2. Evaluation of Geopositioning Using Frequency Responses From Radio Propagation Measurements
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Satellite reliant navigation systems may struggle in urban environments as tall buildings mayobstruct necessary direct lines of sight with satellites. There have been multiple studiesexamining how WIFI fingerprinting may be used for indoor positioning. LÄS MER
3. Machine Learning-based MIMO Indoor Positioning
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER
4. Development of AI/ML Methods for Advanced Device Localization in Beyond 5G Systems
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. LÄS MER
5. 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