AIBullisharXiv – CS AI · 6h ago7/10
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PiDR: Physics-Informed Inertial Dead Reckoning for Autonomous Platforms
Researchers propose PiDR, a physics-informed neural network framework for autonomous navigation using only inertial sensors, achieving 29% positioning improvement over conventional approaches. The system addresses critical limitations of traditional deep learning by embedding physical principles directly into the model, enabling accurate dead reckoning in GPS-denied environments without requiring extensive training data.