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Abstract: Sensor fusion is vital for many critical applications, including robotics, autonomous driving, aerospace, and beyond. Integrating data streams from different sensors enables us to overcome ...

Abstract: Roadside perception has become a critical component for connected and automated vehicles (CAVs), enhancing safety and offering a comprehensive view of the traffic environment that onboard ...

Conclusion: Multi-sensor fusion combined with machine learning (XGBoost, AUC = 0.895) significantly outperforms single-indicator models for fatigue prediction in university soccer players, with ...