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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| 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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