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Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
This comprehensive review article surveys recent advancements in deep learning applications and methods for autonomous navigation. We …
Arman Asgharpoor Golroudbari, Mohammad H. Sabour
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Generalizable end-to-end deep learning frameworks for real-time attitude estimation using 6DoF inertial measurement units
• End-to-end learning framework for real-time inertial attitude estimation. Generalized across various sampling rates. RNN-CNN networks employed to learn motion characteristics, noise, and bias. Proposed approach outperforms traditional algorithms and other deepOutperforms traditional algorithms in terms of accuracy up to 40 Evaluated using seven datasets, totaling 120 h and 200 kilometers of IMU measurements.
Arman Asgharpoor Golroudbari, Mohammad H. Sabour
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