Essays about: "Drönare"

Showing result 6 - 10 of 157 essays containing the word Drönare.

  1. 6. Exogenous Fault Detection in Aerial Swarms of UAVs

    University essay from KTH/Matematik (Avd.)

    Author : Maja Westberg; [2023]
    Keywords : Exogenous Fault Detection; Local Outlier Factor; Aerial Swarm; Unmanned Aerial Vehicle; Behavioral Feature Vector; Outlier Detection; Cluster Analysis; Exogen Feldetektering; Local Outlier Factor; Drönarsvärm; Obemannad Drönare; Beteendevektor; Avvikelse-Analys; Kluster-Analys;

    Abstract : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. READ MORE

  3. 7. Performance Evaluation of LoRa networks for Air-to-Ground Communications

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Kiana Khorsandi; Sareh Jalalizad; [2023]
    Keywords : IoT; LPWAN; LoRaWan; UAV; LAP; Bit error rate; Line of sight;

    Abstract : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. READ MORE

  4. 8. Smart Tracking for Edge-assisted Object Detection : Deep Reinforcement Learning for Multi-objective Optimization of Tracking-based Detection Process

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Shihang Zhou; [2023]
    Keywords : Tracking-By-Detection; Deep Reinforcement Learning; Multi-Objective Optimization; Spårning genom detektion; Djup förstärkningsinlärning; Multiobjektiv optimering;

    Abstract : Detecting generic objects is one important sensing task for applications that need to understand the environment, for example eXtended Reality (XR), drone navigation etc. However, Object Detection algorithms are particularly computationally heavy for real-time video analysis on resource-constrained mobile devices. READ MORE

  5. 9. Drones for Sea Rescue: Lab and Field Experiments on Camera Gimbal Control

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Alexander Sandström; [2023]
    Keywords : Drones; Search and Rescue; Unmanned Aerial Vehicle; UAV; gimbal; camera control; ArduPilot; Quality of Experience; QoE; Technology and Engineering;

    Abstract : The objective of this thesis has been to improve the camera controls of a fixed-wing drone to be used in maritime search-and-rescue operations by the Swedish Sea Rescue Society (SSRS). A gimbal control interface (GCI) has been implemented that displays the video feed of the drone camera while taking control inputs from a joystick that moves its view in real-time. READ MORE

  6. 10. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mattia Sartori; [2023]
    Keywords : Nano Drones; Obstacle Avoidance; Autonomous Exploration; Autonomous Surveillance; Resource-Constrained Drones; Safe Navigation; Reactive Planning; Vision-based Navigation; Nanodrönare; Undvikande av Hinder; Autonom Utforskning; Autonom Övervakning; Resursbegränsade Drönare; Säker Navigering; Reaktiv Planering; Visionsbaserad Navigering;

    Abstract : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. READ MORE