Sökning: "Unmanned Vehicles"

Visar resultat 1 - 5 av 178 uppsatser innehållade orden Unmanned Vehicles.

  1. 1. Automation of Stores - A case study about using unmanned vehicles at IKEA

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Ida Gustafsson; Björn Olmarker; [2021-07-08]
    Nyckelord :Automated Guided Vehicles; Autonomous Mobile Robots; Digitalization; Industry 4.0; Unmanned Vehicles;

    Sammanfattning : Background and Problem Discussion: Industry 4.0 changes business climates andthe value creation for companies, rendering some processes obsolete when new requirementsare being placed on operational efficiency and flexibility. The transformationtowards using Industry 4. LÄS MER

  2. 2. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Rolf Sievert; [2021]
    Nyckelord :Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Sammanfattning : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. LÄS MER

  3. 3. Diverse Time Redundant Triplex Parallel Convolutional Neural Networks for Unmanned Aerial Vehicle Detection

    Master-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik; Mälardalens högskola/Akademin för innovation, design och teknik

    Författare :Hubert Stepien; Martin Bilger; [2021]
    Nyckelord :Convolutional Neural Network; Dependability; Diverse Neural Networks; UAV; Parallel Neural Networks; Time Redundancy;

    Sammanfattning : Safe airspace of airports worldwide is crucial to ensure that passengers, workers, and airplanes are safe from external threats, whether malicious or not. In recent years, several airports worldwide experienced intrusions into their airspace by unmanned aerial vehicles. LÄS MER

  4. 4. Interaction Design for Remote Control of Military Unmanned Ground Vehicles

    Master-uppsats, Linköpings universitet/Interaktiva och kognitiva system

    Författare :Diana Saleh; [2021]
    Nyckelord :Human Robot Interaction HRI ; Design; Unmanned Ground Vehicles UGV ; Autonomous Systems; Human Computer Interaction HCI ; Information Systems; Interaction Design; User Experience UX ; Unmanned Vehicles UV ; Autonomous Vehicles; Interactive Systems; User Interface UI ; Research Through Design; Military; Teleoperation; Swedish Armed Forces;

    Sammanfattning : The fast technology development for military unmanned ground vehicles (UGVs) has led to a considerable demand to explore the soldier’s role in an interactive UGV system. This thesis explores how to design interactive systems for UGVs for infantry soldiers in the Swedish Armed Force. LÄS MER

  5. 5. UAV geolocalization in Swedish fields and forests using Deep Learning

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andreas Rohlén; [2021]
    Nyckelord :Unmanned Aerial Vehicle; Absolute Localization; Deep Learning; Convolutional Neural Network; Cross-View; Neural Network Interpretation; Obemannad Luftburet Fordon; Absolut Lokalisering; Djupinlärning; Convolutional Neural Network; Kors-Perspektiv; Neural nätverkstolkning;

    Sammanfattning : The ability for unmanned autonomous aerial vehicles (UAV) to localize themselves in an environment is fundamental for them to be able to function, even if they do not have access to a global positioning system. Recently, with the success of deep learning in vision based tasks, there have been some proposed methods for absolute geolocalization using vison based deep learning with satellite and UAV images. LÄS MER