Sökning: "Vision-based Navigation"

Visar resultat 1 - 5 av 14 uppsatser innehållade orden Vision-based Navigation.

  1. 1. Robust light source detection for AUV docking

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

    Författare :Joar Edlund; [2023]
    Nyckelord :Autonomous Underwater Vehicle; Docking; Detection; Poseestimation; Visual Navigation; Autonoma Undervattensfordon; Dockning; Detektering; Positionsestimering; Visuell Navigation;

    Sammanfattning : For Autonomous Underwater Vehicles (AUVs) to be able to conduct longterm surveys, the ability to return to a docking station for maintenance and recharging is crucial. A dynamic docking system where a slowly moving submarine acts as the docking station provides increased hydrodynamic control and reduces the impact of environmental disturbances. LÄS MER

  3. 2. 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

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

    Författare :Mattia Sartori; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  4. 3. Efficiency of synthetic vision in simple scenarios

    Kandidat-uppsats, KTH/Datavetenskap

    Författare :Richard Palm; Håvard Woie Alstadheim; [2022]
    Nyckelord :;

    Sammanfattning : Modern crowd simulation models can display a range of different properties, such as realism, efficiency, or emergent self-organizing patterns. These properties often vary by the specific situation that the model is used in. A model can be realistic when used in one scenario and break down completely in another scenario. LÄS MER

  5. 4. Deep Reinforcement Learning for Mapless Mobile Robot Navigation

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

    Författare :Ameer Hamza; [2022]
    Nyckelord :Mobile Robot; DRL; Deep Learning; Navigation; Mapless;

    Sammanfattning : Navigation is the fundamental capability of mobile robots which allows them to move fromone point to another without any human interference. The autonomous operation of theserobots is depended on reliable, robust, and intelligent navigation system. LÄS MER

  7. 5. Monocular vision-based obstacle avoidance for Micro Aerial Vehicles

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Samuel Karlsson; [2020]
    Nyckelord :Obstacle avoidance; Micro Aerial Vehicles; Monovular vision; Moving obstacle; Time prediction; Pixel coordinates;

    Sammanfattning : The Micro Aerial Vehicless (MAVs) are gaining attention in numerous applications asthese platforms are cheap and can do complex maneuvers. Moreover, most of the commer-cially available MAVs are equipped with a mono-camera. LÄS MER