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Showing 1 to 4 of 4 for “"Visual-inertial SLAM"”.

  1. Software and Hardware Infrastructure for Visual-Inertial SLAM

    … for aiding the development and testing of visual-inertial Simultaneous Localization and Mapping (SLAM) systems. SLAM is a fundamental problem in robot navigation and enables constructing or updating a representation (map) of an environment utilizing sensors on board a robot while …

    mit Repository record for Software and Hardware Infrastructure for Visual-Inertial SLAM (opens in a new tab)

  2. Performance Enhancements to Visual-Inertial SLAM for Robots and Autonomous Vehicles

    … world around the robot. In this thesis, we study Visual-Inertial Simultaneous Localization and Mapping (VI-SLAM) and present several findings on its application to a variety of robotic platforms to obtain globallyconsistent localization for a robot as well as a dense map of its surroundings. In …

    mit Repository record for Performance Enhancements to Visual-Inertial SLAM for Robots and Autonomous Vehicles (opens in a new tab)

  3. Toward reliable localization: exploring infrared fiducial markers and multi-imu fusion as alternative sensor modalities

    … measurements from multiple IMUs to improve inertial sensing. In the marker-based approach, a passive infrared fiducial marker is introduced, designed using materials with distinct thermal emissivity properties to remain visible under challenging conditions such as low light, fog, and …

    uiuc Repository record for Toward reliable localization: exploring infrared fiducial markers and multi-imu fusion as alternative sensor modalities (opens in a new tab)

  4. Visual-inertial curve SLAM

    … present a simultaneous localization and mapping (SLAM) algorithm that uses B\'{e}zier curves as static landmark primitives rather than feature points. Our approach allows us to estimate the full 6-DOF pose of a robot while providing a sparse structured map which can be used to assist a robot in …

    uiuc Repository record for Visual-inertial curve SLAM (opens in a new tab)