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Showing 1 to 5 of 5 for “"visual inertial navigation"”.

  1. Autonomous visual-inertial navigation and absolute visual scale estimation

    Deng, XinkeUniversity of Illinois at Urbana-Champaign2016

    Made available in DSpace on 2016-03-02T20:24:16Z (GMT). No. of bitstreams: 2 DENG-THESIS-2015.pdf: 10264670 bytes, checksum: 79c01524ac593eb282a62d77039463b6 (MD5) LICENSE.txt: 4207 bytes, checksum: 906aa460aa653867500b8233c87788c2 (MD5) Previous issue date: 2015-12-08

    uiuc Repository record

  2. A Hardware-Minimal Unscented Kalman Filter Framework for Visual-Inertial Navigation of Small Unmanned Aircraft

    Eddy, Joshua GalenVirginia Tech2017

    … specially designed for a quadcopter carrying an Inertial Measurement Unit (IMU) and a downward-facing camera. The UKF fuses data from each of these sensors to track the position of the quadcopter over time. This work supports a number of similar efforts in the robotics and aerospace communities …

    vt Repository record

  3. Towards Observable Urban Visual SLAM

    Liu, Li Yang2020

    Visual Simultaneous Localisation and Mapping (V-SLAM) is the subject of robot state and environment map estimation by drawing inference on camera captured data. It has been a major branch of research and popular in application owing to the rich information and low cost in vision measurement …

    uts Repository record

  4. Perception-aware planning for differentially flat robots

    Murali, VarunMassachusetts Institute of Technology2024

    … environments at operational speeds." Visual inertial navigation in perceptually degraded environments is a challenging problem for robotic vehicles. With a camera, inertial measurement unit (IMU) pairing being ubiquitous to most consumer electronics, they form an ideal pairing for …

    mit Repository record

  5. Vision based estimation, localization, and mapping for autonomous vehicles

    Yang, JunhoUniversity of Illinois at Urbana-Champaign2016

    … equipped with a lightweight monocular camera, an inertial measurement unit (IMU), a magnetometer, an altimeter, and an onboard computer. To our knowledge, we report the first result that exploits the reflections of features in a riverine environment for localization and mapping. We also present an …

    uiuc Repository record