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...
Main Authors: | Frederico Soares Cabral, Hidekazu Fukai, Satoshi Tamura |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/16/3481 |
Similar Items
-
Human Activity Recognition Using Inertial Sensors in a Smartphone: An Overview
by: Wesllen Sousa Lima, et al.
Published: (2019-07-01) -
Development of a Sustainable Management System for Rural Road Networks in Developing Countries
by: Chamorro Gine, Marcela Alondra
Published: (2012) -
LAND-USE CHANGES AND THE INCREASE IN THE NUMBER ROAD-STREAM CROSSINGS IN A RURAL BASIN SOUTH OF BRAZIL
by: Pedro França Junior, et al.
Published: (2018-10-01) -
Evaluation of road erosion prediction models applied to unpaved roads in a small tropical watershed in Eastern Brazil
by: Duff, Marissa Joy
Published: (2014) -
A Topographic Wetness Index for Forest Road Quality Assessment: An Application in the Lakeland Region of Finland
by: Katalin Waga, et al.
Published: (2020-10-01)