Sökning: "indoor navigation"

Visar resultat 1 - 5 av 93 uppsatser innehållade orden indoor navigation.

  1. 1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    Master-uppsats,

    Författare :Venkata Vamsi Challa; [2024]
    Nyckelord :Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER

  3. 2. Evaluation of Geopositioning Using Frequency Responses From Radio Propagation Measurements

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

    Författare :Jessica Ye; Johan Lesko; [2023]
    Nyckelord :;

    Sammanfattning : Satellite reliant navigation systems may struggle in urban environments as tall buildings mayobstruct necessary direct lines of sight with satellites. There have been multiple studiesexamining how WIFI fingerprinting may be used for indoor positioning. LÄS MER

  4. 3. Machine Learning-based MIMO Indoor Positioning

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

    Författare :Qiyi Chen; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : The most widely used positioning system is Global Navigation Satellite System (GNSS), which uses traditional positioning techniques and cannot achieve satisfactory positioning performance in indoor scenarios due to Non-Line-of-Sight (NLoS) transmission. Fingerprinting is a non-traditional positioning technique that is robust to NLoS transmission in indoor scenarios. LÄS MER

  5. 4. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments

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

    Författare :Erik Warberg; [2023]
    Nyckelord :Room segmentation; Gaussian processes; Euclidean distance fields; mapping; line segment detection; mobile robots; spectral clustering; Rumssegmentering; Gaussiska processer; Euklidiska avståndsfält; kartläggning; detektering av linjesegment; mobila robotar; spektral klustring;

    Sammanfattning : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. LÄS MER

  7. 5. Inomhuspositionering : Ett användningsområde

    Kandidat-uppsats, Högskolan i Gävle/Datavetenskap

    Författare :Robin Törnblom; [2022]
    Nyckelord :Inomhuspositionering; IPS; Infraröd; lokaloptimering; lokalnyttjande;

    Sammanfattning : Sedan 1960-talet har globala navigationssystem (GNSS) framgångsrikt kartlagt vår planet och möjliggjort en global positionering. Mognaden av GNSS tillsammans med utvecklandet av ny teknik och enheter har skapat en ökad efterfrågan av positionering inomhus. LÄS MER