Essays about: "spatial accuracy"
Showing result 6 - 10 of 253 essays containing the words spatial accuracy.
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6. 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
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7. Spatialized Sonification for the Learning of Surgical Navigation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Historically, the education of surgical navigation in minimally invasive neurosurgery has been constrained by several factors. Medical students have been required to physically be in the operating room to observe a teacher perform the different procedures. This restricts their opportunities to gain valuable hands-on experience in their field. READ MORE
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8. Monitoring deforestation in the Serranía de Chiribiquete in northern Colombian Amazon using time series analysis of satellite data
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Deforestation monitoring is of significant importance for the ecosystem, climate change,and policy-making. The availability of optical and synthetic aperture radar (SAR) satellite remote sensing images, along with the development of time series change detection methods, has contributed to the increasing popularity of time series analysis in forest disturbance monitoring. READ MORE
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9. Assessing the accuracy of a spatial model of habitat suitability for Calypso bulbosa
University essay from SLU/Dept. of Biosystems and Technology (from 130101)Abstract : Calypso bulbosa is a rare and visually striking orchid that grows in older mesic to moist forests in the northern half of Sweden. C. bulbosa is red listed as a threatened species (Vulnerable, VU) with a reduction in numbers linked to modern forestry practices and exacerbated by the warming climate. READ MORE
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10. Decreasing Training Time of Reinforcement Learning Agents for Remote Tilt Optimization using a Surrogate Neural Network Approximator
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One possible application of reinforcement learning in the telecommunication field is antenna tilt optimization. However, one of key challenges we face is that the use of handcrafted simulators as environments to provide information for agents is often time-consuming regarding training reinforcement learning agents. READ MORE