Platform for On-Board Real-Time Detection of Wet, Icy and Snowy Roads, using Tyre/Road Noise Analysis

Alonso, Jesús, López, J.M., Pavón García, Ignacio ORCID: https://orcid.org/0000-0003-0970-0452, Asensio, César and Arcas Castro, Guillermo de ORCID: https://orcid.org/0000-0003-1699-7389 (2015). Platform for On-Board Real-Time Detection of Wet, Icy and Snowy Roads, using Tyre/Road Noise Analysis. In: "2015 IEEE International Symposium on Consumer Electronics (lSCE)", 24-26 June 2015, Madrid. ISBN 0747-668X. pp. 1-2. https://doi.org/10.1109/ISCE.2015.7177776.

Description

Title: Platform for On-Board Real-Time Detection of Wet, Icy and Snowy Roads, using Tyre/Road Noise Analysis
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: 2015 IEEE International Symposium on Consumer Electronics (lSCE)
Event Dates: 24-26 June 2015
Event Location: Madrid
Title of Book: 2015 International Symposium on Consumer Electronics (ISCE)
Date: 2015
ISBN: 0747-668X
Subjects:
Freetext Keywords: Road safety; Road surface state; Tyrelroad noise, Support Vector Machines, intelligent transportation systems
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, a new approach capable of detecting water, ice and snow on the road surface is shown, focusing on the hardware needed for the practica! implementation. Proposed platform uses a simple microphone and a general purpose microcontroller. The system is tightly integrated with vehicle ECUs (Eiectronic Control Units). A CAN bus allows it to read sorne of the variable dynamics provided by the sensors already installed in virtually every motor vehicle. Detector results are also published through the CAN bus to be displayed on the vehicle console and to be used by other ECUs. Proposed system is simple, cheap and easy to install. Initial tests for the wet/dry detector classes have shown a very high success rate.

More information

Item ID: 42407
DC Identifier: https://oa.upm.es/42407/
OAI Identifier: oai:oa.upm.es:42407
DOI: 10.1109/ISCE.2015.7177776
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
Deposited by: Memoria Investigacion
Deposited on: 01 Aug 2016 10:45
Last Modified: 25 Jan 2023 11:40
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