Sökning: "Multi-modal"

Visar resultat 1 - 5 av 78 uppsatser innehållade ordet Multi-modal.

  1. 1. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Anastasia Sarelli; [2024]
    Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER

  3. 2. Movement Estimation with SLAM through Multimodal Sensor Fusion

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Jimmy Cedervall Lamin; [2024]
    Nyckelord :slam; discrete-slam; continuous-slam; synchronous; asynchronous; computer vision; BRISK; opencv; ceres; visual; inertial; sensor fusion; multimodal; Simultaneous Localization and Mapping; time offset; pose estimation; quaternions; movement estimation;

    Sammanfattning : In the field of robotics and self-navigation, Simultaneous Localization and Mapping (SLAM) is a technique crucial for estimating poses while concurrently creating a map of the environment. Robotics applications often rely on various sensors for pose estimation, including cameras, inertial measurement units (IMUs), and more. LÄS MER

  4. 3. Activity Location Assignment Comparison Using Geospatial Landuse and Building Data in MATSim : A Multi-modal Transport Case Study of Stockholm

    Master-uppsats, KTH/Transportplanering

    Författare :YU GAO; [2023]
    Nyckelord :Agent-based model; MATSim; Raster Data; Shapefile Data; OSM; GTFS;

    Sammanfattning : Transport simulation models play a crucial role in transportation planning, design, and operations, allowing for the replication of various scenarios through the incorporation of real-world data and parameters. Recently, agent-based transport models have gained prominence for their ability to simulate intricate metropolitan transport systems. LÄS MER

  5. 4. Autonomous shuttle buses : A multiple-case study evaluating to what extent autonomous shuttle buses contribute to achieve sustainable mobility in Lindholmen and Barkarbystaden

    Master-uppsats, Stockholms universitet/Kulturgeografiska institutionen

    Författare :Haddyjatou Njie; [2023]
    Nyckelord :Autonomous shuttle bus; Sustainable mobility; Spatial planning; Urban policy; Urban design; Barkarbystaden; Lindholmen; Multiple-case study;

    Sammanfattning : Travelling and moving within urban areas in a sustainable way acquires a transition toward sustainable commuting modes. An approach to reaching the transition is recognised as sustainable mobility. According to smart mobility research, autonomous shuttle buses could contribute to achieve sustainable mobility in urban areas. LÄS MER

  7. 5. Learning Embeddings for Fashion Images

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Simon Hermansson; [2023]
    Nyckelord :Computer Vision; Machine Learning; Image Retrieval; CLIP; Masked Autoencoders MAE ; Vision Transformers; Image Captioning; Price Prediction; AI for Fashion;

    Sammanfattning : Today the process of sorting second-hand clothes and textiles is mostly manual. In this master’s thesis, methods for automating this process as well as improving the manual sorting process have been investigated. LÄS MER