Development of a methodology for monitoring and prediction of road surface conditions in highly automated driving

Eduardo Mañas Pont, Christian Kuenzel, Julien Provost

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This paper addresses vertical dynamics comfort in Highly Automated Driving (HAD). Based on the assumption that a reduction of vertical acceleration inputs will result in increased passenger comfort, we develop an approach to minimize the effect of road surface anomalies on HAD users. We propose a participative method to identify, process and distribute road quality data using a plurality of vehicles exchanging information with a central server. By activating automated responses to warn about, avoid or counteract the appearance of any type of discomfort prompted by vertical vibrations, we strive to increase the maturity of HAD technology.

Original languageEnglish
Title of host publication2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781509065059
DOIs
StatePublished - 28 Jun 2017
Event22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017 - Limassol, Cyprus
Duration: 12 Sep 201715 Sep 2017

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

Conference22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
Country/TerritoryCyprus
CityLimassol
Period12/09/1715/09/17

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