Sökning: "image localisation"

Visar resultat 6 - 10 av 21 uppsatser innehållade orden image localisation.

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

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Alfred Hagberg; Mustaf Abdullahi Musse; [2022]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

3. 7. AUV SLAM constraint formation using side scan sonar

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

   Författare :Marco Schouten; [2022]
   Nyckelord :AUV; Side Scan Sonar; Pose Estimation; SLAM; Optimisation; AUV; Side Scan Sonar; Pose Estimation; SLAM; Optimisation;

   Sammanfattning : Autonomous underwater vehicle (AUV) navigation has been a challenging problem for a long time. Navigation is challenging due to the drift present in underwater environments and the lack of precise localisation systems such as GPS. Therefore, the uncertainty of the vehicle’s pose grows with the mission’s duration. LÄS MER

4. 8. Statistics and Machine Learning for Classification of Emotional and Semantic Content of EEG

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Oskar Keding; David Ohlin; [2021]
   Nyckelord :Machine Learning; machine; learning; neural; network; statistics; EEG; emotion; semantic; emotional; signal; processing; reassignment; time-frequency; spectrogram; brain processing; bci; CNN; convolutional; Mathematics and Statistics;

   Sammanfattning : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. LÄS MER

5. 9. Statistics and machine learning for classification of emotional and semantic content of EEG

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Teknisk matematik (CI); Lunds universitet/Institutionen för reglerteknik

   Författare :David Ohlin; Oskar Keding; [2021]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Interpreting EEG measurements is of great relevance, both for developing underlying neuroscientific theory and improving existing applications. In this study, two networks with different approaches to time-frequency analysis and feature selection are compared on simulated and real data for semantic and emotional perception. LÄS MER

7. 10. Deep Learning-Based Identification of Ischemic Regions in Native Head CT Scans

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

   Författare :Maximilian Hornung; [2020]
   Nyckelord :;

   Sammanfattning : Stroke is one of the major causes of death and disability worldwide. Fast diagnosis is of critical importance for stroke treatment. In clinical routine, a non-contrast CT (NCCT) is typically acquired immediately to determine whether the stroke is ischemic or hemorrhagic and plan therapy accordingly. LÄS MER