Smart DIPNet is a deep learning framework for advanced Driver Intention Prediction (DIP), designed to anticipate driver maneuvers up to 4 seconds in advance to improve safety in autonomous vehicles. By utilizing sensory fusion of in-cabin and out-cabin data, recent iterations have increased maneuver anticipation precision to 90.5%. For more technical details, read the ResearchGate study ResearchGate
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