Sökning: "monocular vision"

Visar resultat 1 - 5 av 44 uppsatser innehållade orden monocular vision.

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

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Daniel Bladh; [2023]
    Nyckelord :Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

    Sammanfattning : 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. LÄS MER

  3. 2. Jämförelse mellan gradient AK/A-kvot och beräknad AK/A-kvot mellan tre forimätningsmetoder

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för medicin och optometri (MEO)

    Författare :Jonna Karlsson; Maja Forsman; [2023]
    Nyckelord :AK A; ackommodation; vergenser; heterofori; von Graefe; Modifierad Thorington; Maddox Rod; binokulärseende; konvergens; divergens;

    Sammanfattning : Bakgrund: Vergenser är ögonrörelser där ögonen rör sig i olika riktningar i relation till varandra. Sambandet mellan konvergens och ackommodation kallas AK/A-kvot. Det kan tas fram med beräknad eller gradientmetod. Den beräknade metoden baseras på avstånds- och närforier. LÄS MER

  4. 3. ROS-based implementation of a model car with a LiDAR and camera setup

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Signaler och system

    Författare :Marcus Nises; [2023]
    Nyckelord :LiDAR; ROS; stereoscopic camera; SLAM; Linux; rplidar a1; raspberry pi;

    Sammanfattning : The aim of this project is to implement a Radio Controlled (RC) car with a Light Detection and Ranging (LiDAR) sensor and a stereoscopic camera setup based on the Robot Operating System (ROS) to conduct Simultaneous Localization and Mapping (SLAM). The LiDAR sensor used is a 2D LiDAR, RPlidar A1, and the stereoscopic camera setup is made of two monocular cameras, Raspberry Pi Camera v2. LÄS MER

  5. 4. Robustness of State-of-the-Art Visual Odometry and SLAM Systems

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Cassandra Mannila; [2023]
    Nyckelord :Visual-Inertial Odometry; Visual Odometry; SLAM; Motion blur; ORB-SLAM3; DM-VIO; Robustness;

    Sammanfattning : Visual(-Inertial) Odometry (VIO) and Simultaneous Localization and Mapping (SLAM) are hot topics in Computer Vision today. These technologies have various applications, including robotics, autonomous driving, and virtual reality. They may also be valuable in studying human behavior and navigation through head-mounted visual systems. LÄS MER

  7. 5. Humans in the wild : NeRFs for Dynamic Scenes Modeling from In-the-Wild Monocular Videos with Humans

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

    Författare :Sanvito Alessandro; [2023]
    Nyckelord :Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision; Clothed Human Reconstruction; Neural Rendering; Neural Radiance Fields; Scene Reconstruction; Computer Vision;

    Sammanfattning : Recent advancements in computer vision have led to the emergence of Neural Radiance Fields (NeRFs), a powerful tool for reconstructing photorealistic 3D scenes, even in dynamic settings. However, these methods struggle when dealing with human subjects, especially when the subject is partially obscured or not completely observable, resulting in inaccurate reconstructions of geometries and textures. LÄS MER