Sökning: "camera filter"

Visar resultat 1 - 5 av 137 uppsatser innehållade orden camera filter.

  1. 1. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Cina Arjmand; [2023]
    Nyckelord :Artifical Intelligence; Machine Learning; Neuromorphic Engineering; Computer Vision; Technology and Engineering;

    Sammanfattning : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. LÄS MER

  3. 2. Fog detection using an artificial neural network

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Quanwei Li; Tiancheng Ma; [2023]
    Nyckelord :Machine Learning; Deep Learning; Image Analysis; Computer Vision; Mathematics and Statistics;

    Sammanfattning : This project studies a method of image-based fog detection directly from a camera without using the transmissometer. Fog can be detected using transmissometers which could be a very costly approach. This thesis presents an image-based approach for fog detection using Artificial Neural networks. LÄS MER

  4. 3. Quadcopter stabilization based on IMU and Monocamera Fusion

    Master-uppsats, Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Författare :Arturo Pérez Rodríguez; [2023]
    Nyckelord :Machine Vision; Sensor Fusion; Unmanned Aerial Vehicles; Drone Stabilization; Frontal Monocamera;

    Sammanfattning : Unmanned aerial vehicles (UAVs), commonly known as drones, have revolutionized numerous fields ranging from aerial photography to surveillance and logistics. Achieving stable flight is essential for their successful operation, ensuring accurate data acquisition, reliable manoeuvring, and safe operation. LÄS MER

  5. 4. Probabilistic Multi-Modal Data Fusion and Precision Coordination for Autonomous Mobile Systems Navigation : A Predictive and Collaborative Approach to Visual-Inertial Odometry in Distributed Sensor Networks using Edge Nodes

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

    Författare :Isabella Luppi; [2023]
    Nyckelord :Distributed Sensor Networks; Point Cloud Processing; Bounding Box Fitting; Trajectory Tracking; Distributed Estimation; Predictive Estimation; Edge-Computing; Reti di Sensori Distribuiti; Elaborazione di Nuvole di Punti; Riquadri di Delimitazione; Tracciamento della Traiettoria; Stima Distribuita; Stima Predittiva; Calcolo Distribuito.; Distribuerade Sensornätverk; Bearbetning av Punktmoln; Anpassning av Begränsningsruta; Trajektorieuppföljning; Distribuerad Uppskattning; Prediktiv Uppskattning; Edge-datorbehandling;

    Sammanfattning : This research proposes a novel approach for improving autonomous mobile system navigation in dynamic and potentially occluded environments. The research introduces a tracking framework that combines data from stationary sensing units and on-board sensors, addressing challenges of computational efficiency, reliability, and scalability. LÄS MER

  7. 5. Camera Calibration for Zone Positioning and 2D-SLAM : Autonomous Warehouse Solutions for Toyota Material Handling

    Kandidat-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Benjamin Bolgakov; Anton Frank; [2023]
    Nyckelord :camera calibration; computer vision; SLAM; autonomous; navigation;

    Sammanfattning : The aim of this thesis is to investigate how well a generic monocular camera, placed on the vehicle, can be employed to localize an autonomous vehicle in a warehouse setting. The main function is to ascertain which zone the vehicle is currently in, as well as update the status when entering a new zone. LÄS MER