Fortifying visual-inertial odometry: Lightweight defense against laser interference via a shallow CNN and Optimized Kalman Filtering

Fortifying visual-inertial odometry: Lightweight defense against laser interference via a shallow CNN and Optimized Kalman Filtering

Accurately estimating a vehicle's position and velocity in real-time is crucial for navigation, especially in environments where updates must be continuous and reliable. Achieving high-precision localization often requires integrating multiple positioning sources, particularly in indoor setting...

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Bibliographic Details
Main Authors: A. Ebrahimi, M.R. Mosavi, A. Ayatollahi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Results in Engineering
Subjects:
VIO
IMU
Laser attack
Image disruption
Detector neural network
Shallow CNN
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123024017614
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