Essays about: "Indoor localization"
Showing result 6 - 10 of 72 essays containing the words Indoor localization.
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6. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. READ MORE
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7. Surface Reconstruction using Multipath Propagation in Indoor MIMO Radar
University essay from Lunds universitet/Matematisk statistikAbstract : Using active radar for localization in indoor environments is challenging. By signal reflection off walls and other static objects, false targets occur, referred to as multipath "ghosts". These are a significant hinder in interpreting the data. READ MORE
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8. Development of AI/ML Methods for Advanced Device Localization in Beyond 5G Systems
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : This master thesis aims to investigate the positioning accuracy improvements of device localization by the implementation of AI/ML functionalities. In this project, we use the fifth-generation(5G) New Radio (NR) system and focus on indoor factories. READ MORE
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9. Virtual alignment of real-world objects
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : High accuracy localization of objects is a crucial function for many modern applications, such as virtual and augmented reality, robotics, and self-driving cars, among others. This requires determining precise location of objects indoors, which is a challenging task. READ MORE
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10. Optimization-Based Path Planning For Indoor UAVs in an Autonomous Exploration Framework
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Exploration is a fundamental problem in robotics that requires robots to navigate through unknown environments to autonomously gather information about their surroundings while executing collision-free paths. In this project, we propose a method for producing smooth paths during the exploration process in indoor environments using UAVs to improve battery efficiency and enhance the quality of pose estimation. READ MORE