基于GPS/INS集成的自动驾驶汽车定位方法

Qingmei Yang, Jianmin Sun
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引用次数: 12

摘要

定位系统是自动驾驶汽车的一项关键技术。自动驾驶汽车可以感知各种信息,并在行驶过程中做出决策。研究了基于数据融合的自动驾驶汽车GPS/INS综合定位系统。在分析全球定位系统(GPS)、惯性导航系统(INS)、航位推算系统(DR)和矢量电子地图等定位方法的基础上,将GPS和IMS集成到自动驾驶汽车的定位系统中。设计了GPS/INS综合定位系统。在GPS分系统和IMS分系统中采用了卡尔曼滤波。对INS/GPS融合数据进行了仿真。仿真结果表明,融合定位可以提高定位系统的精度和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A location method for autonomous vehicle based on integrated GPS/INS
The location system is a key technology of autonomous vehicle. Autonomous vehicle can sense all kinds of information and make decisions during moving out of door. The integrated GPS/INS location system of autonomous vehicle based on data fusion is studied in the paper. Based on the analysis of location methods, such as the Global Positioning System (GPS), inertial navigation system (INS), dead reckoning (DR) system and the vector electronic map, GPS and IMS are integrated in the location system of the autonomous vehicle. The GPS/INS integrated location system is designed. Kalman filter is used in the GPS subsystem and the IMS subsystem. Data of fusion of INS/GPS is simulated. The results of simulation show that the fusion location can improve the precision and reliability of the location system.
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