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  1. 1. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement

    Master-uppsats, Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Författare :Kimon Letzner; [2024]
    Nyckelord :Disaster risk reduction; Participatory action research; Community risk mapping; International Red Cross Red Crescent Movement; Colombia; Technology and Engineering;

    Sammanfattning : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. LÄS MER

  2. 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

  3. 3. Air quality around preschools in Gothenburg: an evaluation of measurement methods

    Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Författare :Emma Forsmalm; [2023-06-21]
    Nyckelord :low-cost sensors; passive diffusion samplers; pick-ups and drop-offs; regulatory measurements;

    Sammanfattning : In this study the air quality around four different preschools, chosen to represent different local traffic environments, was measured and the measurement methods used were evaluated. The aim was to compare the information retrieved using different methods, discuss the possible applications of them and finally see if more specific activities, in this case pick-ups and drop-offs, could be seen in the data retrieved. LÄS MER

  4. 4. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders

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

    Författare :Kobe Moerman; [2023]
    Nyckelord :3D pose estimation; Joint landmarks; Variational autoencoder; Multi-task model; Loss discrimination; Latent-space modulation; Depth map; 3D-positionsuppskattning; Gemensamma landmärken; Variationell autoencoder; Multitask-modell; Förlustdiskriminering; Latent-space-modulering; Djupkarta;

    Sammanfattning : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. LÄS MER

  5. 5. Interactive Visualization of Network Models in JavaScript/TypeScript for Web-based Applications

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Morrow Erik; [2023]
    Nyckelord :Networks; Information visualization; Information Theory; Interactive visualization; Nätverk; Informationsvisualisering; Informationsteori; Interaktiv visualisering;

    Sammanfattning : Networks of nodes and links are powerful tools to model complex systems, however, when the number of nodes and links grows to the thousands then even the network becomes too complex to comprehend unless we can simplify and highlight the networks underlying structure. The map equation is a method developed by the researchers at IntegratedScience Lab that uses an information theoretic approach to reveal community structure using the flow of information on the network modeled with random walks. LÄS MER