This invention describes a system mounted on a vehicle that inspects roads and bridges. It specifically uses a tire-excited acoustic sensor system (TEAS) with microphones under the vehicle to listen to sounds generated by the tires as it drives at normal highway speeds, even up to 65 mph. By analyzing these sounds, the system maps defects like cracks and potholes on and under the road surface.
Why it matters: Filed before the widespread adoption of advanced machine learning for acoustic signal processing. Today's AI can more effectively analyze complex tire-excited acoustic data at high speeds to accurately identify subtle road and subsurface defects.
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