Sökning: "level navigation"

Visar resultat 1 - 5 av 133 uppsatser innehållade orden level navigation.

  1. 1. Neuroscience app interfaceanalysis.

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Lucía Velasco González; [2023]
    Nyckelord :;

    Sammanfattning : The Neurologyca company received a request from a client, Orange, on how to improve its appinterface, Orange TV, to be more user-friendly. The project's main purpose is to evaluate the userexperience and optimal design of the interface, focusing on qualitative and quantitative research toanalyze the consumer emotional reaction while using the app. LÄS MER

  3. 2. Developing High level Behaviours for the Boston Dynamics Spot Using Automated Planning

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Nisa Andersson; [2023]
    Nyckelord :Automated Planning; Boston Dynamics Spot; Public Safety; Automatic System; Collaborative Systems; Robotics;

    Sammanfattning : Over the years, the Artificial Intelligence and Integrated Computer Systems (AIICS) Division at Linköping University has developed a high-level architecture for collaborative robotic systems that includes a delegation system capable of defining complex missions to be executed by a team of agents. This architecture has been used as a part of a research arena for developing and improving public safety and security using ground, aerial, surfaceand underwater robotic systems. LÄS MER

  4. 3. 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

  5. 4. Real Time Navigation Algorithms for LEO Small Satellites using COTS GNSS

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Nathan Groisne; [2023]
    Nyckelord :PNT; Small Satellite; COTS; GNSS; Navigation; ACS; PNT; små satelliter; COTS; GNSS; navigering; ACS;

    Sammanfattning : Many satellites in LEO use a GNSS-based navigation system, taking advantage of the GNSS constellations in MEO to enhance navigation capabilities. The thesis work focused on developing the software enabling GNSS-based navigation for Hemeria's future small satellites operating in LEO. LÄS MER

  7. 5. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

    Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Författare :Isaac Arnold McSey; [2023]
    Nyckelord :Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

    Sammanfattning : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. LÄS MER