中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Design and development of an experiment platform for study on agricultural machinery navigation technology

文献类型:期刊论文

作者Hu JT(胡静涛); Gao L(高雷); Hu HC(胡河春); Liu XG(刘晓光); Bai XP(白晓平); Li TC(李逃昌)
刊名International Agricultural Engineering Journal
出版日期2011
卷号20期号:2页码:30-35
关键词agricultural machinery navigation experiment platform precision agriculture
ISSN号0858-2114
产权排序1
中文摘要Low-cost precision agricultural machinery navigation technology is one of the key technologies we need to master in precision agriculture study. This study aims at using low-cost position and attitude sensors to achieve high precision navigation and control. We have designed and developed an experiment platform for study on agricultural machinery navigation technology by adopting an electric car as the experimental vehicle. This platform consists of four parts: machinery subsystem, position and attitude measurement subsystem, navigation control subsystem and data acquisition and analysis subsystem. It supports the experimental verification of the following algorithms: position and attitude measurement and solution algorithm, multi-sensor data fusion algorithm and navigation and control algorithm. This experiment platform meets the demands of study and experiment on agricultural machinery navigation technolog
收录类别EI
语种英语
公开日期2012-05-29
源URL[http://ir.sia.cn/handle/173321/7071]  
专题沈阳自动化研究所_工业信息学研究室
推荐引用方式
GB/T 7714
Hu JT,Gao L,Hu HC,et al. Design and development of an experiment platform for study on agricultural machinery navigation technology[J]. International Agricultural Engineering Journal,2011,20(2):30-35.
APA Hu JT,Gao L,Hu HC,Liu XG,Bai XP,&Li TC.(2011).Design and development of an experiment platform for study on agricultural machinery navigation technology.International Agricultural Engineering Journal,20(2),30-35.
MLA Hu JT,et al."Design and development of an experiment platform for study on agricultural machinery navigation technology".International Agricultural Engineering Journal 20.2(2011):30-35.

入库方式: OAI收割

来源:沈阳自动化研究所

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