Essays about: "edge detection"
Showing result 21 - 25 of 150 essays containing the words edge detection.
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21. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. READ MORE
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22. Deep Learning Based Out-of-focus Detection on Surveillance Footage
University essay from Lunds universitet/Matematik LTHAbstract : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. READ MORE
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23. Padel court detection system
University essay from Jönköping University/JTH, Avdelningen för datateknik och informatikAbstract : The aim of this thesis is to examine the possibility of a court detection program for sports videos that can identify the court even when some important elements are not visible. The study will also analyze what external factors may impact the program's accuracy in detecting all relevant elements. READ MORE
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24. Federated Learning for edge computing : Real-Time Object Detection
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In domains where data is sensitive or private, there is a great value in methods that can learn in a distributed manner without the data ever leaving the local devices. Federated Learning (FL) has recently emerged as a promising solution to collaborative machine learning challenges while maintaining data privacy. READ MORE
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25. Forest Aboveground Biomass Monitoring in Southern Sweden Using Random Forest Modelwith Sentinel-1, Sentinel-2, and LiDAR Data
University essay from Högskolan i Gävle/SamhällsbyggnadAbstract : Monitoring carbon stock has emerged as a critical environmental problem among several worldwide organizations and collaborations in the context of global warming and climate change. This study seeks to provide a remote sensing solution based on three types of data, to explore the feasibility and reliability of estimating aboveground biomass (AGB) in order to improve the efficiency of monitoring carbon stock. READ MORE