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Visar resultat 1 - 5 av 8 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Boundary Guard for a Field Robot Based on Perception and Localization : A prototype on Husqvarna robotic lawn mower

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

    Författare :Tianze Li; [2022]
    Nyckelord :;

    Sammanfattning : In this thesis we have developed from scratch a perception and localization system that bounds the robot within its operation area. The module is originally designed for a robotic lawn mower, but can be adapted to other differential-drive field robots with minor changes. LÄS MER

  3. 2. Inertial-aided EKF-based Structure from Motionfor Robust Real-time Augmented Reality

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :JOAKIM HUGMARK; [2013]
    Nyckelord :;

    Sammanfattning : The aim of this project was to develop a system that enables the overlay of computer graphics in a video sequence recorded by a moving camera. To do this, the camera’s position relative different landmarks in the picture needs to be estimated, a problem commonly referred to as “Structure from Motion” within the Computer Vision community, or “Monocular SLAM” within the robotics community. LÄS MER

  4. 3. Simultaneous Localization And Mapping Using a Kinect In a Sparse Feature Indoor Environment

    Master-uppsats, Reglerteknik

    Författare :Fredrik Hjelmare; Jonas Rangsjö; [2012]
    Nyckelord :SLAM; RGBDSLAM; Kinect; TurtleBot; Sparse Feature Environment; Extended Kalman Filter; Robot Operating System;

    Sammanfattning : Localization and mapping are two of the most central tasks when it comes to autonomous robots. It has often been performed using expensive, accurate sensors but the fast development of consumer electronics has made similar sensors available at a more affordable price. LÄS MER

  5. 4. Simultaneous Localization And Mapping Using a Kinect in a Sparse Feature Indoor Environment

    Master-uppsats, Reglerteknik; Tekniska högskolan

    Författare :Fredrik Hjelmare; Jonas Rangsjö; [2012]
    Nyckelord :SLAM; RGBDSLAM; Kinect; TurtleBot; Sparse Feature Environment; Extended Kalman Filter; Robot Operating System;

    Sammanfattning : Localization and mapping are two of the most central tasks when it comes toautonomous robots. It has often been performed using expensive, accurate sensorsbut the fast development of consumer electronics has made similar sensorsavailable at a more affordable price. LÄS MER

  7. 5. Monocular Visual SLAMbased on Inverse DepthParametrizationMonocular Visual SLAMbased on Inverse DepthParametrization

    Master-uppsats, Akademin för innovation, design och teknik

    Författare :Victor Rivero Pindado; [2010]
    Nyckelord :Monocular visual SLAM Kalman Filter;

    Sammanfattning : The first objective of this research has always been carry out a study of visual techniques SLAM (Simultaneous localization and mapping), specifically the type monovisual, less studied than the stereo. These techniques have been well studied in the world of robotics. LÄS MER