Essays about: "thesis for sensors networks"

Showing result 1 - 5 of 145 essays containing the words thesis for sensors networks.

  1. 1. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

    University essay from Linköpings universitet/Datorseende

    Author : Daniel Bladh; [2023]
    Keywords : Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

    Abstract : 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

  3. 2. Velocity Control of a Mobile Charger in a Wireless Rechargeable Sensor Network

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Emilia Haltorp; [2023]
    Keywords : Wireless Sensor Networks; Mobile Charger; Wireless Energy Transfer; Traveling Salesman Problem; Trådlösa Sensornätverk; Mobil laddare; Trådlös strömöverföring; Handelsresandeprobleme;

    Abstract : Wireless sensor networks (WSN) are one of the most rapidly evolving technical areas right now. They can be used in a lot of different applications, environmental monitoring and health applications being two examples. The sensors can be placed in hazardous and remote environments since there is no need for cabling or manual maintenance. READ MORE

  4. 3. Performance Evaluation of LoRa networks for Air-to-Ground Communications

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Kiana Khorsandi; Sareh Jalalizad; [2023]
    Keywords : IoT; LPWAN; LoRaWan; UAV; LAP; Bit error rate; Line of sight;

    Abstract : The current focus on the Internet of Things (IoT) has led to the emergence of many network scenarios with unlimited use cases, including smart homes, smart cities, smart agriculture, and more. Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly popular due to their versatility and ability to collect and transmit data through various sensors and cameras. READ MORE

  5. 4. Deep Learning-Driven EEG Classification in Human-Robot Collaboration

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Yuan Wo; [2023]
    Keywords : Human-robot collaboration; Electroencephalogram signal; Signal Processing Feature Extraction; Deep Learning method; Dilated Convolutional Neural Network; Människa-robot-samarbete; Elektroencefalogram-signal; Signalförädlingsfunktionsutvinning; Djupinlärningsmetod; Dilaterat konvolutionellt neuronnätverk.;

    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

  6. 5. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks

    University essay from Lunds universitet/Fysiska institutionen

    Author : Joyce Cobussen; [2023]
    Keywords : Physics and Astronomy;

    Abstract : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. READ MORE