Sökning: "Vision systems"

Visar resultat 1 - 5 av 662 uppsatser innehållade orden Vision systems.

  1. 1. Vägen mot en hållbar hantering av vatten och avlopp i en urban miljö år 2070, under ett förändrat klimat

    Uppsats för yrkesexamina på avancerad nivå,

    Författare :Lisa Lundgren; [2024]
    Nyckelord :;

    Sammanfattning : En hållbar hantering av vatten och avlopp (VA) är avgörande för att skydda miljön och människors hälsa. Ansvaret kan dock inte enbart läggas på VA-sektorn, utan hela samhället behöver vidta åtgärder för att hantera utmaningar relaterade till befolkningstillväxt, urbanisering och klimatförändringar. LÄS MER

  3. 2. Automatic Semantic Segmentation of Indoor Datasets

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

    Sammanfattning : 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. LÄS MER

  4. 3. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Författare :Xinchen Wang; [2024]
    Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

  5. 4. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    Master-uppsats,

    Författare :Venkata Vamsi Challa; [2024]
    Nyckelord :Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER

  7. 5. Corporate Foresight and its Role in Driving Innovation - A case study of the Swedish grocery industry and how they use corporate foresight in order to improve their innovation strategies

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Marcus Andersson; Jonas Dahlqvist; [2023-07-19]
    Nyckelord :Corporate foresight; strategic foresight; long-range planning; innovation; innovation strategies; innovation management; strategic management;

    Sammanfattning : The world is constantly changing with factors that we partly can control and some that are outside of our control. Living in these complex systems demands tackling but also embracing uncertainty. The focus should not be on controlling the outcomes by narrow forecasts. LÄS MER