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Features of Invariant Extended Kalman Filter Applied to Unmanned Aerial Vehicle Navigation [PDF]

open access: goldSensors, 2018
This research used an invariant extended Kalman filter (IEKF) for the navigation of an unmanned aerial vehicle (UAV), and compared the properties and performance of this IEKF with those of an open-source navigation method based on an extended Kalman ...
Nak Yong Ko   +4 more
doaj   +7 more sources

State Estimation for Quadruped Robots on Non-Stationary Terrain via Invariant Extended Kalman Filter and Disturbance Observer [PDF]

open access: goldSensors
Quadruped robots possess significant mobility in complex and uneven terrains due to their outstanding stability and flexibility, making them highly suitable in rescue missions, environmental monitoring, and smart agriculture.
Mingfei Wan   +5 more
doaj   +6 more sources

MF-IEKF: A Multiplicative Federated Invariant Extended Kalman Filter for INS/GNSS [PDF]

open access: goldSensors
The integration of an inertial navigation system (INS) with the Global Navigation Satellite System (GNSS) is crucial for suppressing the error drift of the INS.
Lebin Zhao   +4 more
doaj   +4 more sources

Invariant Extended Kalman Filtering for Pedestrian Deep-Inertial Odometry [PDF]

open access: diamondThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Indoor localization for pedestrians, which relies solely on inertial odometry, has been a topic of great interest. Its significance lies in its ability to provide positioning solutions independently, without the need for external data.
S. Bai, W. Wen, Y. Yu, L.-T. Hsu
doaj   +4 more sources

Enhanced Navigation Precision Through Interaction Multiple Filtering: Integrating Invariant and Extended Kalman Filters

open access: goldIEEE Access
High-precision navigation solutions are essential requirements for various industries, especially the autonomous robotics industry. Inertial navigation systems (INS) are the prime source of navigation information for these applications, while global ...
Maher Tarek   +7 more
doaj   +4 more sources

Invariant Extended Kalman Filtering Using Two Position Receivers for\n Extended Pose Estimation [PDF]

open access: green2021 IEEE International Conference on Robotics and Automation (ICRA), 2021
This paper considers the use of two position receivers and an inertial measurement unit (IMU) to estimate the position, velocity, and attitude of a rigid body, collectively called extended pose. The measurement model consisting of the position of one receiver and the relative position between the two receivers is left invariant, enabling the use of the
Natalia Pavlasek   +2 more
  +6 more sources

A Right Invariant Extended Kalman Filter for Object based SLAM [PDF]

open access: greenIEEE Robotics and Automation Letters, 2021
10 pages, 6 figures, 2 ...
Yang Song   +5 more
openalex   +4 more sources

PIEKF-VIWO: Visual-Inertial-Wheel Odometry using Partial Invariant Extended Kalman Filter [PDF]

open access: green2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
Invariant Extended Kalman Filter (IEKF) has been successfully applied in Visual-inertial Odometry (VIO) as an advanced achievement of Kalman filter, showing great potential in sensor fusion. In this paper, we propose partial IEKF (PIEKF), which only incorporates rotation-velocity state into the Lie group structure and apply it for Visual-Inertial-Wheel
Hua Tong, Tao Li, Ling Pei
openalex   +3 more sources

Invariant Extended Kalman Filtering for Human Motion Estimation with Imperfect Sensor Placement [PDF]

open access: green2022 American Control Conference (ACC), 2022
7 pages, 6 figures, submitted to American Control Conference (ACC)
Ze‐Nan Zhu   +3 more
  +5 more sources

The Invariant Extended Kalman Filter as a Stable Observer [PDF]

open access: greenIEEE Transactions on Automatic Control, 2016
Comment: This paper is going to be submitted for publication in IEEE Transactions on Automatic ...
Axel Barrau, Silvère Bonnabel
openalex   +5 more sources

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