Sökning: "Drone Detection"

Visar resultat 1 - 5 av 48 uppsatser innehållade orden Drone Detection.

  1. 1. DRONAR: Obstacle echolocation using ego-noise

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Henrik Nilsson; [2023]
    Nyckelord :Drone; Autonomous systems; Obstacle avoidance; Sound; Noise; Planning; SONAR; Ego-noise; Multi-rotor aerial vehicle; Unmanned areal vehicle; Drönare; Autonoma system; Hinderundvikning; Ljud; Oljud; Planering; SONAR; Egenljud; Multirotorfordon; Obemannat luftfordon;

    Sammanfattning : You do not want your drone to crash. Therefore, safety systems should be put in place to prevent such an event, and obstacle avoidance is a major part of this. Today, the most successful techniques use cameras or light detection and ranging (LIDAR) to find and avoid obstacles; but to improve resiliency, multiple systems should be used. LÄS MER

  3. 2. Platform Tilt Detection : For Drone Landing

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskap

    Författare :MEHER VIJAY ANUPOJU; PRUDHVI PONNADA; HARI VEERA MANI KUMAR VALLU; [2023]
    Nyckelord :Drone; MATLAB; Platform; Robotic arm; Webcam.;

    Sammanfattning : This report describes a project aimed at determining the angle of the landing platform to the drones using a tilted platform, IMU, and image processing algorithms. The goal of this project is to determine the safe landing of drones and drone landings by optimizing the landing location via platform tilt adjustment and angle computation. LÄS MER

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

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

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

    Sammanfattning : 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. LÄS MER

  5. 4. Rogue Drone Detection

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Muiz Olalekan Raheem; [2023]
    Nyckelord :Rogue Drones; Machine Learning; Deep Learning; Radio Frequency; Deep Complex Convolutional Neural Network;

    Sammanfattning : Rogue drones have become a significant concern in recent years due to their potential to cause harm to people and property and disrupt critical infrastructure and public safety. As a result, there has been a growing need for effective methods to detect and mitigate the risks posed by these drones. LÄS MER

  7. 5. Performance analysis of the communication system of a drone prototype used for maintenance and cleaning

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Abhinav Siddharth Mekam; [2023]
    Nyckelord :Drone; Pixhawk 6C; Raspberry pi; MAVlink protocol; Haarcascade classifier; OpenCV.;

    Sammanfattning : Drones in today’s life are used in many sectors to automate various tasks. Delivering small items, capturing live events, and surveying dangerous areas are a few incredible operations of drones in today’s society. It can perform many tasks in human-restricted areas with less service time and cost. LÄS MER