TY - GEN
T1 - A personalized curve driving model for intelligent vehicle
AU - Xie, Jianming
AU - Gong, Jianwei
AU - Wu, Shaobin
AU - Xiong, Guangming
AU - Lu, Chao
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - Although the intelligent vehicle can safely drive through the curve with traditional control methods, most of them are to limit the maximum speed according to the curvature of road, which cannot meet the comfortable requirement for passenger. In this paper, by analyzing the driver's curve driving data and considering the road construction, we divide the curve driving phase into three section: Curve entry driving, mid curve driving and curve exit driving. In further, we present a novel Personalized Curve Driving model for Intelligent Vehicle, which includes an acceleration/deceleration model based on the GMM/GMR and a speed tracking algorithm. The model is trained with the human driving data and curve road parameters in Prescan simulation environment. The simulation results illustrate the model for Intelligent Vehicle can smoothly and stably pass through the curve like a human driver.
AB - Although the intelligent vehicle can safely drive through the curve with traditional control methods, most of them are to limit the maximum speed according to the curvature of road, which cannot meet the comfortable requirement for passenger. In this paper, by analyzing the driver's curve driving data and considering the road construction, we divide the curve driving phase into three section: Curve entry driving, mid curve driving and curve exit driving. In further, we present a novel Personalized Curve Driving model for Intelligent Vehicle, which includes an acceleration/deceleration model based on the GMM/GMR and a speed tracking algorithm. The model is trained with the human driving data and curve road parameters in Prescan simulation environment. The simulation results illustrate the model for Intelligent Vehicle can smoothly and stably pass through the curve like a human driver.
KW - Curve Driving Phase
KW - GMM/GMR
KW - Intelligent Vehicle
KW - Personalized Curve Driving Model
UR - http://www.scopus.com/inward/record.url?scp=85050879146&partnerID=8YFLogxK
U2 - 10.1109/ICUS.2017.8278359
DO - 10.1109/ICUS.2017.8278359
M3 - Conference contribution
AN - SCOPUS:85050879146
T3 - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
SP - 301
EP - 306
BT - Proceedings of 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
A2 - Xu, Xin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Unmanned Systems, ICUS 2017
Y2 - 27 October 2017 through 29 October 2017
ER -