Sökning: "pedestrian navigation"

Visar resultat 1 - 5 av 28 uppsatser innehållade orden pedestrian navigation.

  1. 1. Tillgänglighet till urbana miljöer för personer med synnedsättning : en platsanalys av Storängstorget i Norra Djurgårdsstaden i Stockholm

    Kandidat-uppsats, SLU/Dept. of Urban and Rural Development

    Författare :Rasmus Willart; [2023]
    Nyckelord :Tillgänglighet; användbarhet; framkomlighet; allmänna platser; utemiljöer; funktionsnedsättning; synnedsättning; ögonsjukdomar;

    Sammanfattning : Synen har en avgörande roll för hur allmänna platser upplevs och används. Synnedsättningar kan begränsa personers möjligheter att orientera sig självständigt. LÄS MER

  3. 2. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation

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

    Författare :Malte Blomqvist; Morris Hansing; [2023]
    Nyckelord :;

    Sammanfattning : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. LÄS MER

  4. 3. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Raahitya Botta; Aditya Aditya; [2023]
    Nyckelord :Artificial Intelligence AI ; Dataset; Deep learning; Object detection; Pedestrian detection; Performance analysis; Self-driving vehicles.;

    Sammanfattning : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. LÄS MER

  5. 4. People flow maps for socially conscious robot navigation

    Master-uppsats, Luleå tekniska universitet/Rymdteknik

    Författare :Rex Fox O'Loughlin; [2023]
    Nyckelord :people flow; maps of dynamics; occupancy maps; motion prediction; trajectory dataset;

    Sammanfattning : With robots becoming increasingly common in human occupied spaces, there has been a growing body of research into the problem of socially conscious robot navigation. A robot must be able to predict and anticipate the movements of people around it in order to navigate in a way that is socially acceptable, or it may face rejection and therefore failure. LÄS MER

  7. 5. Beamformed Channel Matrix Positioning using 5G Testbench CSI data with a Deep-Learning Pipeline

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Andre Ráth; [2022]
    Nyckelord :5G; Deep Learning; Positioning; Channel State Information; CSI; Deep-learning; neural-network; particle-filter; particle; filter; Channel Matrix; Beamformed Channel Matrix; localization; real-world; data-driven; 5G testbench; basestation; Technology and Engineering;

    Sammanfattning : Within the telecommunications industry, a positioning system for estimating user equipment (UE) location using purely information available for the basestation has an enormous number of potential uses. The link between physical position and the network channel state enables potential positioning systems to function by under- standing the network channel state dependency on location, using a model-based, data-based, or a combined approach. LÄS MER