Essays about: "Network Parameters"
Showing result 21 - 25 of 845 essays containing the words Network Parameters.
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21. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. READ MORE
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22. Event-Based Visual SLAM : An Explorative Approach
University essay from Uppsala universitet/Signaler och systemAbstract : Simultaneous Localization And Mapping (SLAM) is an important topic within the field of roboticsaiming to localize an agent in a unknown or partially known environment while simultaneouslymapping the environment. The ability to perform robust SLAM is especially important inhazardous environments such as natural disasters, firefighting and space exploration wherehuman exploration may be too dangerous or impractical. READ MORE
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23. Learning features for extrinsic camera calibration of wide-angle cameras
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : This thesis attempts to solve the problem of estimating the extrinsic camera parameters (pitch and roll) from a wide-angle view image. The first contributionis a data generation pipeline capable of producing wide-angle distorted images with rotation and line segment annotations. READ MORE
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24. Drones for Sea Rescue: Lab and Field Experiments on Camera Gimbal Control
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : The objective of this thesis has been to improve the camera controls of a fixed-wing drone to be used in maritime search-and-rescue operations by the Swedish Sea Rescue Society (SSRS). A gimbal control interface (GCI) has been implemented that displays the video feed of the drone camera while taking control inputs from a joystick that moves its view in real-time. READ MORE
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25. Deep Learning-Driven EEG Classification in Human-Robot Collaboration
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human-robot collaboration (HRC) occurs when people and robots work together in a shared environment. Current robots often use rigid programs unsuitable for HRC. Multimodal robot programming offers an easier way to control robots using inputs like voice and gestures. READ MORE