Essays about: "degrees of navigation"

Showing result 1 - 5 of 24 essays containing the words 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

    University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

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

    Abstract : 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. READ MORE

  2. 2. Machine Learning-based MIMO Indoor Positioning

    University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

    Author : Qiyi Chen; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

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

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Alexander Berglund; [2023]
    Keywords : 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;

    Abstract : 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. READ MORE

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

    University essay from Linköpings universitet/Institutionen för systemteknik

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

    Abstract : 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. READ MORE

  5. 5. A Study on Fault Tolerance of Image Sensor-based Object Detection in Indoor Navigation

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yang Wang; [2022]
    Keywords : Gazebo; YOLO; Object detection; Fault tolerance; Fault Injection; Network pruning; Gazebo; YOLO; Objektdetektering; Feltolerans; Felinjektion; Nätverk beskärning;

    Abstract : With the fast development of embedded deep-learning computing systems, applications powered by deep learning are moving from the cloud to the edge. When deploying NN onto the devices under complex environments, there are various types of possible faults: soft errors caused by cosmic radiation and radioactive impurities, voltage instability, aging, temperature variations, etc. READ MORE