Essays about: "Indoor mapping"

Showing result 1 - 5 of 40 essays containing the words Indoor mapping.

  1. 1. Automatic Semantic Segmentation of Indoor Datasets

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Sai Swaroop Rachakonda; [2024]
    Keywords : Semantic Segmentation; Annotation; SLAM; Indoor datasets; YOLO V8; DETIC; Segment Anything Model.;

    Abstract : Background: In recent years, computer vision has undergone significant advancements, revolutionizing fields such as robotics, augmented reality, and autonomoussystems. Key to this transformation is Simultaneous Localization and Mapping(SLAM), a fundamental technology that allows machines to navigate and interactintelligently with their surroundings. READ MORE

  3. 2. Surface Reconstruction using Multipath Propagation in Indoor MIMO Radar

    University essay from Lunds universitet/Matematisk statistik

    Author : Elias Olson; Jakob Henningsson; [2023]
    Keywords : Multiple-input multiple-output MIMO radar; multipath recognition; geometry reconstruction; Mathematics and Statistics;

    Abstract : 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

  4. 3. Real-Time Continuous Euclidean Distance Fields for Large Indoor Environments

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

    Author : Erik Warberg; [2023]
    Keywords : Room segmentation; Gaussian processes; Euclidean distance fields; mapping; line segment detection; mobile robots; spectral clustering; Rumssegmentering; Gaussiska processer; Euklidiska avståndsfält; kartläggning; detektering av linjesegment; mobila robotar; spektral klustring;

    Abstract : Real-time spatial awareness is essential in areas such as robotics and autonomous navigation. However, as environments expand and become increasingly complex, maintaining both a low computational load and high mapping accuracy remains a significant challenge. READ MORE

  5. 4. Map generation using a smartphone’s built in localisation and mapping algorithms

    University essay from Lunds universitet/Matematik LTH

    Author : Emil Harvig; [2023]
    Keywords : Point Cloud; SLAM; vSLAM; Pose; Occupancy Grid Map; OGM; ARcore; Technology and Engineering;

    Abstract : Localisation and mapping algorithms for smartphones have in recent years seen a renewed interest due to their technological advancements. Using these systems to generate an indoor blueprint where none is available or incomplete is useful in tracking applications. READ MORE

  6. 5. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Alfred Hagberg; Mustaf Abdullahi Musse; [2022]
    Keywords : Instance Segmentation; segmentation; deep learning; semantic segmentation; swin transformer; mask rcnn; rcnn; cascade mask rcnn; slam; simultaneous localization and mapping; object detection; COCO; NYU dataset; vision transformer;

    Abstract : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. READ MORE