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In today's socioeconomic situations, as pavement infrastructures have aged, road agencies are obliged to monitor their pavements frequently and effectively. This study examines an automatic detection method of surface distress due to frost heaving on expressways. The result shows that an accelerometer-based profilometer can accurately detect the distress in the roughness profile by the lifting wavelet filters developed on the basis of lifting scheme theory. The filters especially respond to the severe distress similar to the distress learned for the lifting scheme that needs careful monitoring. Therefore, we conclude that the automatic distress detection method based on the lifting scheme theory improves the ability of acceleration-based profilometer that contribute to daily monitoring activities by road agencies.