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- W2000611346 abstract "This work presents a method for assessing pavement surface condition using measurements from a microphone mountedunderneath a moving vehicle. Such measurements will include tire-generated sound, which carries much informationabout the road condition, as well as noise generated by the wind and vehicle. The proposed method uses PrincipalComponent Analysis (PCA) to extract the tire-generated sound from the noisy measurements. The analysis begins withacoustic pressure measurements made over constant and known road conditions. Fourier transforms are taken overvarious time windows and a PCA is performed over the resulting vectors, yielding to a set of principal componentvectors for that road condition. Each road condition is characterized by a set of principal component vectors. Thesevector sets are used to analyze measurements from a road with unknown road conditions by finding the vector set thatbest represents the acoustic measurements from that road. Successful applications of this method are demonstrated byaccurate estimations of the mean texture depth (MTD) of pavement directly from acoustic measurements." @default.
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- W2000611346 date "2012-04-26" @default.
- W2000611346 modified "2023-09-23" @default.
- W2000611346 title "Statistical analysis of acoustic measurements for assessing pavement surface condition" @default.
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- W2000611346 doi "https://doi.org/10.1117/12.916955" @default.
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