Binary Road Surface Classification Using Machine Learning on Production Vehicle Signals During Cruising

In three linesML method for real-time binary road surface classification (dry/damp grip vs snow/ice slip) using production vehicle signals during cruising. Feature-based and end-to-end frameworks using wheel speeds, torques, longitudinal acceleration, steering angle, yaw rate. Validated on public-road data.

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