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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Eduardo Manas Pont; Christian Kuenzel; Julien Provost 
Titel:
Development of a Methodology for Monitoring and Prediction of Road Surface Conditions in Highly Automated Driving 
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, a...    »
 
Kongress- / Buchtitel:
22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA 2017) 
Publikationsdatum:
12.09.2017 
Jahr:
2017 
Jahr / Monat:
2017-09 
Nachgewiesen in:
Scopus; Web of Science 
Reviewed:
ja