EN
    您的位置: 首页 > 研究成果 > 研究论文
 
按时间查看




DGPS-based Vehicle State Estimation in V2I Cooperative System
作者 Boyuan Xie,Sifa Zheng,Xiaohui Qin,Xijun Zhou
出版年份 2013 引用
摘要
A sideslip angle estimation algorithm based on DGPS in V2I cooperative system is proposed. The vehicle kinematic model is built to estimate vehicle yaw angle and sideslip angle; meanwhile ...展开全文
A sideslip angle estimation algorithm based on DGPS in V2I cooperative system is proposed. The vehicle kinematic model is built to estimate vehicle yaw angle and sideslip angle; meanwhile a two-order kalman filter is used to fuse information from different sources. The first order kalman filter is available for processing lateral acceleration, longitudinal acceleration and yaw rate collected by IMU (inertia measurement unit); this information is used as the time update of vehicle model. The second order kalman filter is utilized to fuse vehicle location heading angle, which are collected by DGPS in cooperative system. This information is used as the measurement update of vehicle model. Steady-state cornering test results show that the algorithm is effective, even if the vehicle is in high lateral acceleration. The algorithm suits vehicle safety control requirements in V2I cooperative system.
收起全文

Intelligent Vehicle Platform and Signal Processing Method Applied to Cooperative Vehicle Infrastructure.
作者 Sibo Tian,Sifa Zheng,Boyuan Xie,Xiaohui Qin
出版年份 2013 引用
摘要
The technology of intelligent cooperative vehicle infrastructure helps to improve road traffic safety and efficiency. The intelligent vehicle platform is the key equipment for research and validation...展开全文
The technology of intelligent cooperative vehicle infrastructure helps to improve road traffic safety and efficiency. The intelligent vehicle platform is the key equipment for research and validation of the technology of intelligent cooperative vehicle infrastructure. First, the general requirements of intelligent vehicle platform as well as the platform vehicle motion and the way of gaining status information based on external sensors are introduced with a focus on the signal filtering and calibration of vehicle sensors. The intelligent vehicle platform established is demonstrated to gain status information of vehicle motion accurately through a comparison test and becomes the key device for the intelligent cooperative vehicle infrastructure research.
收起全文



  Copyright © 2019 www.hive-hnu.org All rights reseved. 版权所有: 湖南大学智能车辆课题组
通讯地址: 湖南省长沙市岳麓区 湖南大学 现代工程训练中心A栋 邮编:410082