Maximizing Measurement Visual-Inertial Odometry for Low-Light Environment Through Online Image Pre-Processing

Recently, the interest in exploring unknown areas such as caves and tunnels has increased, and Visual-Inertial Odometry (VIO) can provide a suitable localization solution thanks to its lightweight and low cost advantages for mobile robots or drones. However, in such environments, lighting conditions...

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Bibliographic Details
Main Authors: Suyong Lee, Hanyeol Lee, Chan Gook Park
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10943147/
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