Sökning: "Room segmentation"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Room segmentation.

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

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

    Författare :Erik Warberg; [2023]
    Nyckelord :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;

    Sammanfattning : 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. LÄS MER

  3. 2. Automatic magnetic resonance brain volume measurements to assess the effect of minimised blood sample extraction on brain development in extremely preterm infants

    Master-uppsats, Lunds universitet/Läkarutbildningen

    Författare :Hickmat Hamie; [2021]
    Nyckelord :Magnetic resonance imaging; Brain development; Prematurity; Medicine and Health Sciences;

    Sammanfattning : Aim: To evaluate a pipeline for automatic MRI brain segmentation and volumetric tissue structure quantification in a cohort of extremely preterm infants. Methods: 13 extremely preterm neonates underwent MRI-scanning at a term equivalent age. Seven of these subjects had suitable MRI sequences and were analyzed in the pipeline. LÄS MER

  4. 3. Learning from Synthetic Data : Towards Effective Domain Adaptation Techniques for Semantic Segmentation of Urban Scenes

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

    Författare :Gerard Valls I Ferrer; [2021]
    Nyckelord :Semantic Segmentation; Synthetic Data; Autonomous Driving; Domain Shift; Domain Adaptation; Domain Generalisation; Semantisk Segmentering; Syntetiska Data; Autonom Körning; Domänskift; Domänanpassning; Domängeneralisering;

    Sammanfattning : Semantic segmentation is the task of predicting predefined class labels for each pixel in a given image. It is essential in autonomous driving, but also challenging because training accurate models requires large and diverse datasets, which are difficult to collect due to the high cost of annotating images at pixel-level. LÄS MER

  5. 4. Developing robust algorithms for feature extraction in images of polymer layers

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Anton Wemmenborn; [2019]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Automated manufacturing processes are an important component of today’s industries. Assuming the processes are properly maintained they allow for great efficiency when producing various goods. Image analysis can be used as a tool to monitor such processes and evaluate their results. LÄS MER

  7. 5. Semantic and Instance Segmentation of Room Features in Floor Plans using Mask R-CNN

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Fredrik Sandelin; [2019]
    Nyckelord :;

    Sammanfattning : Machine learning techniques within Computer Vision are rapidly improving computers' high-level understanding of images, thus revealing new opportunities to accomplish tasks that previously required manual intervention from humans. This paper aims to study where the current machine learning state-of-the-art is when it comes to parsing and segmenting bitmap images of floor plans. LÄS MER