Lightweight resilience: Advancing visual-inertial odometry with deep convolutional networks and an intelligent learnable Kalman filter for defense against laser remote attacks
A combination of multiple positioning sources is often employed to achieve precise and high-rate localization, especially in indoor applications where satellite-based navigation systems are not feasible. This paper presents a super-robust Visual-Inertial Odometry (VIO) system designed to counter las...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447924005562 |
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