Sökning: "degrees of navigation"

Visar resultat 1 - 5 av 29 uppsatser innehållade orden degrees of navigation.

  1. 1. Accessible UX in digital 3D application solutions on the example of the planning experience by IKEA : An empirical mixed-method approach beyond accessibility

    Magister-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Hoang Dung Nguyen; [2023]
    Nyckelord :Accessibility; Usability; User Experience Design; 3D; WCAG 2.1; Planning Tool; E-Commerce Website; Empirical Mixed-Method Study;

    Sammanfattning : The research investigates the feasibility of applying 2D accessibility guidelines to enhance a 3D digital planning tool's accessibility for individuals with visual impairments. Three primary research questions guide this study. It incorporated a mixed-method data collection approach to comprehensively investigate these questions. LÄS MER

  3. 2. 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

  4. 3. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Alexander Berglund; [2023]
    Nyckelord :artificial intelligence; AI; machine learning; ML; deep learning; DL; computer vision; neural networks; NN; convolutional neural networks; CNN; visual odometry; VO; robustness; motion blur; AirForestry; localization; navigation; ego-motion; pose estimation; SLAM; DF-VO; DytanVO; ORB-SLAM3; artificiell intelligens; maskininlärning; datorseende;

    Sammanfattning : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. LÄS MER

  5. 4. Supercharge Your Journey : Mikrointeraktioner till er tjänst

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för informatik (IK)

    Författare :Anette Nordenson; Sofia Nordqvist; [2022]
    Nyckelord :Microinteractions; Design Thinking; Activity-centered design; BEV; Supercharging; Mikrointeraktioner; Design Thinking; Activity-centered design; Elbil; Snabbladdning;

    Sammanfattning : För att klara Parisavtalets mål om att begränsa den globala uppvärmningen till 1,5 grader är transportsektorn en viktig faktor då den svarar för nära en fjärdedel av Europas växthusgasutsläpp. Användningen av energi från förnybara energikällor inom transport har ökat de senaste åren, med Sverige som bäst inom EU. LÄS MER

  7. 5. A Positioning System for Landing a UAV on a UGV in a GNSS-Denied Scenario

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Tim Wiik; [2022]
    Nyckelord :Sensor fusion; UAV; UGV; NIR-LED; Extended kalman filter; Unmanned Aerial Vehicle; Unmanned Ground Vehicle; Autonomous Landing; GNSS-denied Scenario;

    Sammanfattning : A system of an unmanned aerial vehicle (UAV) collaborating with an unmanned ground vehicle (UGV) for use in for example surveillance, reconnaissance, transport and target acquisition is studied. The project investigates the problem of estimating the relative position, velocity and orientation between the UAV and the UGV required to autonomously land the UAV on the UGV during movement. LÄS MER