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Roadside acoustic sensors to support vulnerable pedestrians via their smartphone
[article]
2018
arXiv
pre-print
We propose a new warning system based on smartphones that evaluates the risk of motor vehicle for vulnerable pedestrian (VP). The acoustic sensors are embedded in roadside to receive vehicles sounds and they are classified into heavy vehicle, light vehicle with low speed, light vehicle with high speed, and no vehicle classes. For this aim, we extract new features by Mel-frequency Cepstrum Coefficients (MFCC) and Linear Predictive Coefficients (LPC) algorithms. We use different classification
arXiv:1812.02752v1
fatcat:dbr3zykbkbcqhp6lho6xuwl2nu