Essays about: "Path Prediction"
Showing result 11 - 15 of 65 essays containing the words Path Prediction.
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11. GPS-Free UAV Geo-Localization Using a Reference 3D Database
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. READ MORE
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12. Design and Implementation of Cellular Network Hotspot Forecast Using Graph Convolutional Neural Networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : This project proposes a type of (Recurrent) Graph Neural Network (RGNN) to predict future hotspots in cellular network data. Current state-of-the-art algorithms process each antenna (celldata )’s in isolation, ignoring the performance of nearby cells and cell locations. READ MORE
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13. Improving Aircraft Fuel Consumption Prediction through Ensemble Learning
University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikAbstract : Performance models provided by aircraft manufacturers are used by aircraft operators to perform flight path simulations aiming to reduce aircraft fuel consumption. However, performance models are generic and does not account for the performance deviations of each aircraft individual. READ MORE
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14. A Performance Comparison of the Single Object Tracking Algorithms ROLO and Tiny-ROLO
University essay from KTH/DatavetenskapAbstract : Object tracking in videos is an extension of ordinary object detection, to continuously predict and follow the objects’ path of motion. The Recurrent YOLO (ROLO) algorithm is a two-stage tracking algorithm that utilizes deep neural networks to track objects in image sequences. READ MORE
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15. Handling Occlusion using Trajectory Prediction in Autonomous Vehicles
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : Occlusion is a frequently occuring challenge in vision systems for autonomous driving. The density of objects in the field-of-view of the vehicle may be so high that some objects are only visible intermittently. It is therefore beneficial to investigate ways to predict the paths of objects under occlusion. READ MORE
