全球定位系统
导航系统
惯性导航系统
GPS/INS
卡尔曼滤波器
保险丝(电气)
计算机科学
扩展卡尔曼滤波器
制导系统
工程类
计算机视觉
人工智能
实时计算
辅助全球定位系统
数学
电信
电气工程
几何学
航空航天工程
方向(向量空间)
作者
Juan Liao,Yao Wang,Junnan Yin,Lingling Bi,Shun Zhang,Huiyu Zhou,Dan Zhu
出处
期刊:Transactions of the ASABE
[American Society of Agricultural and Biological Engineers]
日期:2021-01-01
卷期号:64 (2): 389-399
被引量:4
摘要
Highlights An integrated GPS/INS/VNS navigation system was developed to improve navigation accuracy. An adaptive federal Kalman filter with information distribution factors was used to fuse navigation information. Detection of seedling row lines was achieved based on subregional feature points clustering. A modified rice transplanter was developed as an experimental platform for automatic navigation. Abstract . In this article, an integrated global positioning system (GPS), inertial navigation system (INS), and visual navigation system (VNS) navigation method based on an adaptive federal Kalman filter (KF) is presented to improve positioning accuracy for a rice transplanter operating in a paddy field. The proposed method used GPS/VNS to aid the INS and reduce the influence of the accumulated error of the INS on navigation accuracy. An adaptive federal KF algorithm was designed to fuse navigation information from different sensors. The information distribution factor of each local filter was obtained adaptively on the basis of its own error covariance matrix. Computer simulation and transplanter tests were conducted to verify the proposed method. Results showed that the proposed method provided accurate and reliable navigation information outputs and achieved better navigation performance compared with single GPS navigation and an integrated method based on a conventional federal KF. Keywords: Federal Kalman filter, GPS/INS/VNS, Information distribution factor, Information fusion, Integrated navigation.
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