Feature Extraction Methods Proposed for Speech Recognition Are Effective on Road Condition Monitoring Using Smartphone Inertial Sensors

Feature Extraction Methods Proposed for Speech Recognition Are Effective on Road Condition Monitoring Using Smartphone Inertial Sensors

The objective of our project is to develop an automatic survey system for road condition monitoring using smartphone devices. One of the main tasks of our project is the classification of paved and unpaved roads. Assuming recordings will be archived by using various types of vehicle suspension syste...

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Bibliographic Details
Main Authors: Frederico Soares Cabral, Hidekazu Fukai, Satoshi Tamura
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
road condition monitoring
paved and unpaved classification
smartphone inertial sensors
feature extraction
signal processing
deep neural network
Online Access:https://www.mdpi.com/1424-8220/19/16/3481

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https://www.mdpi.com/1424-8220/19/16/3481

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