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Visar resultat 1 - 5 av 15 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Robustness of State-of-the-Art Visual Odometry and SLAM Systems

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Cassandra Mannila; [2023]
    Nyckelord :Visual-Inertial Odometry; Visual Odometry; SLAM; Motion blur; ORB-SLAM3; DM-VIO; Robustness;

    Sammanfattning : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. LÄS MER

  3. 2. Optimization-Based Path Planning For Indoor UAVs in an Autonomous Exploration Framework

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

    Författare :Marco Cella; [2023]
    Nyckelord :Optimal Path Planning; B-Splines; Autonomous Exploration; Indoor UAV; Crisis and Disaster Management; Trajectory Estimation; SITL; Optimal Banplanering; B-Splines; Autonom Utforskning; Inomhus-UAV; Kris- och Katastrofhantering; Uppskattning av Banor; SITL;

    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

  4. 3. Localization of Combat Aircraft at High Altitude using Visual Odometry

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Jenny Nilsson Boij; [2022]
    Nyckelord :Monocular Visual Odometry; Monocular SLAM; High Altitude; Combat Aircraft; X-Plane;

    Sammanfattning : Most of the navigation systems used in today’s aircraft rely on Global Navigation Satellite Systems (GNSS). However, GNSS is not fully reliable. For example, it can be jammed by attacks on the space or ground segments of the system or denied at inaccessible areas. LÄS MER

  5. 4. Deep neural network for object classification and optimization algorithms for 3D positioning in Ultrasonic Sensor Array

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Hui Zhang; [2021]
    Nyckelord :ultrasonic sensor; simulation; CNN; optimization; localization; object classification;

    Sammanfattning : Ultrasonic sensors are commonly used in automobiles to assist driving maneuvers, e.g., parking, because of their cost-effectiveness and robustness. LÄS MER

  7. 5. UAV geolocalization in Swedish fields and forests using Deep Learning

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

    Författare :Andreas Rohlén; [2021]
    Nyckelord :Unmanned Aerial Vehicle; Absolute Localization; Deep Learning; Convolutional Neural Network; Cross-View; Neural Network Interpretation; Obemannad Luftburet Fordon; Absolut Lokalisering; Djupinlärning; Convolutional Neural Network; Kors-Perspektiv; Neural nätverkstolkning;

    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