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Pose estimation by Omnidirectional Visual-Inertial Odometry

  • Published:2018-07 Issue: Volume:105 Page:26-37
  • ISSN:0921-8890
  • Container-title:Robotics and Autonomous Systems
  • language:en
  • Short-container-title:Robotics and Autonomous Systems

Author:

Ramezani MiladORCID,Khoshelham KouroshORCID,Fraser CliveORCID

Funder

Melbourne School of Engineering

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference50 articles.

1. Visual odometry for ground vehicle applications;Nistér;J. Field Robot.,2006

2. A multi-state constraint kalman filter for vision-aided inertial navigation;Mourikis,2007

3. Real-time implementation of airborne inertial-slam;Kim;Robot. Auton. Syst.,2007

4. High-precision, consistent ekf-based Visual-Inertial Odometry;Li;Int. J. Robot. Res.,2013

5. Imu Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation;Forster,2015

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1. 360-VIO: A Robust Visual–Inertial Odometry Using a 360° Camera;IEEE Transactions on Industrial Electronics;2024

2. LF-VISLAM: A SLAM Framework for Large Field-of-View Cameras With Negative Imaging Plane on Mobile Agents;IEEE Transactions on Automation Science and Engineering;2023

3. LF-VIO: A Visual-Inertial-Odometry Framework for Large Field-of-View Cameras with Negative Plane;2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2022-10-23

4. PanoVILD: a challenging panoramic vision, inertial and LiDAR dataset for simultaneous localization and mapping;The Journal of Supercomputing;2022-01-07

5. Review on Panoramic Imaging and Its Applications in Scene Understanding;IEEE Transactions on Instrumentation and Measurement;2022
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