Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
On-board wet road surface identification using tyre/road noise and Support Vector Machines
Year:2013
Research Areas
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
Changes in weather have a major influence on driving safety. On wet pavement, tyre grip is reduced and drivers must adapt their driving style accordingly. The correct operation of this adaptation mechanism depends on the perception the driver has of the asphalt status. Due to certain effects, this perception does not always correspond with reality. To improve this perception, it is essential to inform the driver about the asphalt status, efficiently and as quickly as possible. This could be achieved by installing an asphalt status detection system on the vehicle itself. The system could display asphalt status information in the vehicle?s console, allowing drivers to adapt their driving style accordingly. In this paper we propose an asphalt status classification system based on real-time acoustic analysis of tyre/road noise. The proposed system uses a practical approach that allows it to be integrated into a real vehicle. We present the system architecture used to measure the noise and the signal processing algorithms used for the classification of the asphalt state. A practical implementation of the proposed system has been developed and tested. For this preliminary prototype, only wet and dry asphalt states have been covered. Obtained wet/dry classification results have been reported, showing very high success rates
International
Si
JCR
Si
Title
Applied Acoustics
ISBN
0003-682X
Impact factor JCR
1,097
Impact info
Volume
Journal number
From page
407
To page
415
Month
SIN MES
Ranking
Participants
  • Autor: JESUS ALONSO FERNANDEZ (I2A2-UPM)
  • Autor: Juan Manuel Lopez Navarro (UPM)
  • Autor: Ignacio Pavon Garcia (UPM)
  • Autor: Manuel Recuero Lopez (UPM)
  • Autor: César Asensio Rivera (UPM)
  • Autor: Guillermo de Arcas Castro (UPM)
  • Autor: AGUSTIN BRAVO
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Investigación en Instrumentación y Acústica Aplicada (I2A2)
  • Departamento: Sistemas Electrónicos y de Control
  • Departamento: Ingeniería Mecánica y de Fabricación
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