Sökning: "ORB-SLAM3"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet ORB-SLAM3.

  1. 1. Towards Adaptive Image Resolution for Visual SLAM on Resource-constrained Devices

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

    Författare :Herman Blenneros; [2023]
    Nyckelord :Visual localization and mapping; Runtime-control; Resource-constrained devices; Bildbaserad lokalisering och kartläggning; Realtidsreglering; Resursbegränsade enheter;

    Sammanfattning : Today, a large number of devices with small form factors and limited resources are being integrated with processes to perform complex tasks such as localization and mapping. One example of this are headsets used for Extended Reality. LÄS MER

  3. 2. 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

  4. 3. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression

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

    Författare :Guangzhi Wang; [2023]
    Nyckelord :ORB-SLAM3; compression; image feature; localization accuracy; internal parameter; hybrid compressing; brightness enhancement; ORB-SLAM3; kompression; bildfunktion; lokaliseringsnoggrannhet; intern parameter; hybridkomprimering; ljusstyrkeförstärkning;

    Sammanfattning : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. LÄS MER

  5. 4. Rolling shutter in feature-based Visual-SLAM : Robustness through rectification in a wearable and monocular context

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Caspar Norée Palm; [2023]
    Nyckelord :SLAM; rolling; shutter; rectification; ORB-SLAM3; monocular; camera; compensation; visual; odometry; simultaneous; localization; mapping;

    Sammanfattning : This thesis analyzes the impact of and implements compensation for rolling shutter distortions in the state-of-the-art feature-based visual SLAM system ORB-SLAM3. The compensation method involves rectifying the detected features, and the evaluation was conducted on the "Rolling-Shutter Visual-Inertial Odometry Dataset" from TUM, which comprises of ten sequences recorded with side-by-side synchronized global and rolling shutter cameras in a single room. LÄS MER

  7. 5. 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