Sökning: "surveillance network"

Visar resultat 6 - 10 av 135 uppsatser innehållade orden surveillance network.

  1. 6. Formation Control of UAVs for Positioning and Tracking of a Moving Target

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Robert Carsk; Alexander Jeremic; [2023]
    Nyckelord :Autonomous; UAVs; Drones; Sensor Fusion; MPC; Filter; KF; EKF; Signal; Tracking; Formation; Controller; Control; MWSN; Optimal Control Problem; Optimization; Seeker Drone; Target Drone; Quadcopter Model; Simulation;

    Sammanfattning : The potential of Unmanned Aerial Vehicles (UAVs) for surveillance and military applications is significant — with continued technical advances in the field. The number of incidents where UAVs have intruded into unauthorized areas has increased in recent years and armed drones are commonly used in modern warfare. LÄS MER

  3. 7. Anchor-free object detection in surveillance applications

    Master-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Peter Magnusson; [2023]
    Nyckelord :computer vision; object detection; detector models; artificial neural networks; deep learning; detection precision; inference efficiency; surveillance applications; anchor-free detection; convolutional neural network; machine learning;

    Sammanfattning : Computer vision object detection is the task of detecting and identifying objects present in an image or a video sequence. Models based on artificial convolutional neural networks are commonly used as detector models. Object detection precision and inference efficiency are crucial for surveillance-based applications. LÄS MER

  4. 8. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jinchen Liu; [2023]
    Nyckelord :Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

    Sammanfattning : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. LÄS MER

  5. 9. A Study Of Using Communication Signals As Sonar Pulses In Underwater Sensor Systems

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Erica Svensson; [2022]
    Nyckelord :Sonar; Communication signal; Beamforming; Underwater sensor system; WLS estimator; Detection algorithm; Position estimation;

    Sammanfattning : Underwater communication within underwater sensor network is crucial for surveillance of coast and ocean areas. The aim of this report was to examine whether it is realistic to use the communication signal which is sent from one node to another as a sonar pulse, and in such case at what distances. LÄS MER

  7. 10. Anomalous Behavior Detection in Aircraft based Automatic Dependent Surveillance–Broadcast (ADS-B) system using Deep Graph Convolution and Generative model (GA-GAN)

    Magister-uppsats, Linköpings universitet/Databas och informationsteknik

    Författare :Jayesh Kenaudekar; [2022]
    Nyckelord :Intrusion detection aircraft aviation security adsb protocol AI deep learning machine learning graph generative model surveillance broadcast;

    Sammanfattning : The Automatic Dependent Surveillance-Broadcast (ADS-B) is a key component of the Next Generation Air Transportation System (Next Gen) that manages the increasingly congested airspace and operation. From Jan 2020, the U.S. Federal Aviation Administration (FAA) mandated the use of (ADS-B) as a key component of Next Gen project. LÄS MER