Sökning: "Low vision"

Visar resultat 6 - 10 av 370 uppsatser innehållade orden Low vision.

  1. 6. Decentralized approach for IVI : Infrastructure-vehicle-information

    Kandidat-uppsats, Högskolan i Halmstad

    Författare :Abdallah Saleh; [2023]
    Nyckelord :V2I; V2X; IVI; ITS; Vision Zero; Infrastructure-vehicle-information; Intelligent Transport Systems; traffic safety; CCAM; ADAS;

    Sammanfattning : With the growing number of vehicles on the road, improving traffic safety and efficiency has become a major challenge. One of the promising solutions is the implementation of Intelligent Transportation Systems (ITS), which utilizes communication technologies to facilitate real-time information sharing between vehicles and infrastructure. LÄS MER

  3. 7. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

    Författare :Laura Murphy; [2023]
    Nyckelord :Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

    Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER

  4. 8. Evaluation of deep learning methods for industrial automation

    Master-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Ragnar Onning; [2023]
    Nyckelord :artificial intelligence; machine learning; deep learning; cnn; transformer; swin; swin transformer;

    Sammanfattning : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. LÄS MER

  5. 9. Autonomous Navigation in Partially-Known Environment using Nano Drones with AI-based Obstacle Avoidance : A Vision-based Reactive Planning Approach for Autonomous Navigation of Nano Drones

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

    Författare :Mattia Sartori; [2023]
    Nyckelord :Nano Drones; Obstacle Avoidance; Autonomous Exploration; Autonomous Surveillance; Resource-Constrained Drones; Safe Navigation; Reactive Planning; Vision-based Navigation; Nanodrönare; Undvikande av Hinder; Autonom Utforskning; Autonom Övervakning; Resursbegränsade Drönare; Säker Navigering; Reaktiv Planering; Visionsbaserad Navigering;

    Sammanfattning : The adoption of small-size Unmanned Aerial Vehicles (UAVs) in the commercial and professional sectors is rapidly growing. The miniaturisation of sensors and processors, the advancements in connected edge intelligence and the exponential interest in Artificial Intelligence (AI) are boosting the affirmation of autonomous nano-size drones in the Internet of Things (IoT) ecosystem. LÄS MER

  7. 10. Design of an Industrial Bin Picking Station

    Master-uppsats, Lunds universitet/Innovation

    Författare :Jonathan Ramb; [2023]
    Nyckelord :bin picking; computer vision; automation; robotics; 3D Scanning; Technology and Engineering;

    Sammanfattning : With the ever-increasing demand for automation, new ways to optimize production lines are needed. The aim of this thesis is to complete an industrial automation task by employing a concept in robotics known as bin picking. The concept involves organizing objects by picking them out of a cluttered bin using an industrial robot. LÄS MER