Robust Monocular Visual-Inertial Odometry for Agricultural Vehicles Based on IMU-Augmented 3D Feature Point Correction

Robust Monocular Visual-Inertial Odometry for Agricultural Vehicles Based on IMU-Augmented 3D Feature Point Correction

This paper presents a new monocular visual-inertial odometry (VIO) system designed to achieve precise and robust localization for autonomous vehicles in challenging agricultural environments, where unstable and low-texture features often degrade performance. Unlike existing VIO methods, which are pr...

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Bibliographic Details
Main Authors: Quoc Duy Tran, Quoc Hung Hoang, Gon-Woo Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Visual-inertial odometry
state estimation
sensor fusion
inertial navigation system
Online Access:https://ieeexplore.ieee.org/document/11048465/
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https://ieeexplore.ieee.org/document/11048465/

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