Sökning: "UAV lokalisering"
Visar resultat 1 - 5 av 9 uppsatser innehållade orden UAV lokalisering.
1. Optimization-Based Path Planning For Indoor UAVs in an Autonomous Exploration Framework
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Exploration is a fundamental problem in robotics that requires robots to navigate through unknown environments to autonomously gather information about their surroundings while executing collision-free paths. In this project, we propose a method for producing smooth paths during the exploration process in indoor environments using UAVs to improve battery efficiency and enhance the quality of pose estimation. LÄS MER
2. RayTracing Analysis and Simulator Design of Unmanned Aerial Vehicle Communication and Detection System in Urban Environment
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, unmanned aerial vehicles (UAV), also called drones, have experienced a rapid increase, which leads to the concern of illegal use of them. Passive RF is one of the effective ways to detect drones by receiving drones’ communication signals. LÄS MER
3. UAV geolocalization in Swedish fields and forests using Deep Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The ability for unmanned autonomous aerial vehicles (UAV) to localize themselves in an environment is fundamental for them to be able to function, even if they do not have access to a global positioning system. Recently, with the success of deep learning in vision based tasks, there have been some proposed methods for absolute geolocalization using vison based deep learning with satellite and UAV images. LÄS MER
4. Deep Feature UAV Localization in Urban Areas and Agricultural Fields and Forests
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The reliance on GPS for Unmanned Aerial Vehicle (UAV) localization limits the areas of application to places with a stable GPS signal. The emergence of deep learning in computer vision has made deep learning methods for visual UAV navigation a promising candidate for autonomous GPS denied localization. LÄS MER
5. Localization of UAV for efficient delivery of AED
Kandidat-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakultetenSammanfattning : I Sverige rapporteras årligen 6000 fall av hjärtstopp som sker utanför sjukhus där SOS-Alarm larmats och HLR utförts. Av de drabbade lever ca 11% 30 dagar efter hjärtstoppet. I samband med ett inträffat hjärtstopp är tiden till att en hjärtstartare (AED) kan användas avgörande för den drabbades chans att överleva. LÄS MER
