Essays about: "3d applications"
Showing result 6 - 10 of 393 essays containing the words 3d applications.
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6. Uncertainty Estimation in Radiation Dose Prediction U-Net
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The ability to quantify uncertainties associated with neural network predictions is crucial when they are relied upon in decision-making processes, especially in safety-critical applications like radiation therapy. In this paper, a single-model estimator of both epistemic and aleatoric uncertainties in a regression 3D U-net used for radiation dose prediction is presented. READ MORE
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7. Numerical Study on Acoustic Phenomena in Cavities for Aero-engine Applications
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : For about seventy years, noise generated by grazing flow past a cavity has been thoroughly studied. Yet, a coherent theory that describes such phenomena is missing. Lately, this phenomena started to be investigated in bleeding systems of aero-engines. READ MORE
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8. Modulating Depth Map Features to Estimate 3D Human Pose via Multi-Task Variational Autoencoders
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human pose estimation (HPE) constitutes a fundamental problem within the domain of computer vision, finding applications in diverse fields like motion analysis and human-computer interaction. This paper introduces innovative methodologies aimed at enhancing the accuracy and robustness of 3D joint estimation. READ MORE
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9. Approximating material area, volume,and velocity for belt conveyor systemapplications using 3D depth sensor technology
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Time of Flight (ToF) technology describes products or systems which measure distance by calculating the distance emitted light travels before bouncing off its surroundings and ending back up at the system. Since the early 2000s, many advancements in the area of ToF systems have been made leading to much use for the ToF variant LiDAR. READ MORE
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10. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness
University essay from Linköpings universitet/DatorseendeAbstract : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. READ MORE