Essays about: "semantic segmentation"
Showing result 1 - 5 of 151 essays containing the words semantic segmentation.
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1. Automatic Semantic Segmentation of Indoor Datasets
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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
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2. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation
University essay from Blekinge Tekniska HögskolaAbstract : Background: The evolving landscape of 3D data processing, particularly pointcloud manipulation, is pivotal in numerous applications ranging from architecturaldesign to spatial analysis. Traditional methods, primarily mesh generation from point clouds, face challenges in adapting to complex real-world scenarios. READ MORE
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3. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
University essay fromAbstract : 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. READ MORE
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4. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data
University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesiAbstract : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems. SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. READ MORE
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5. Network Orientation and Segmentation Refinement Using Machine Learning
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. READ MORE