TY - GEN
T1 - Development of a methodology for monitoring and prediction of road surface conditions in highly automated driving
AU - Pont, Eduardo Mañas
AU - Kuenzel, Christian
AU - Provost, Julien
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/28
Y1 - 2017/6/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85044459964&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2017.8247675
DO - 10.1109/ETFA.2017.8247675
M3 - Conference contribution
AN - SCOPUS:85044459964
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
SP - 1
EP - 7
BT - 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2017
Y2 - 12 September 2017 through 15 September 2017
ER -