SIA OpenIR  > 智能检测与装备研究室
The Vehicle Location Method Based on Artificial Neural Networks
Liu YY(刘英英); Kong Z(孔芝); Wang LF(王立夫); Liu YY(刘意杨)
Department智能检测与装备研究室
Conference Name6th International Conference on Manufacturing Science and Engineering (ICMSE)
Conference DateNovember 28-29, 2015
Conference PlaceGuangzhou, PEOPLES R CHINA
Source PublicationPROCEEDINGS OF THE 2015 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING SCIENCE AND ENGINEERING
PublisherATLANTIS PRESS
Publication PlacePARIS
2015
Pages1642-1646
Indexed ByCPCI(ISTP)
WOS IDWOS:000388457800299
Contribution Rank3
ISSN2352-5401
ISBN978-94-6252-137-7
KeywordLocation Gps Artificial Neural Network
AbstractThis paper introduces an GPS(Global Position Systems) location method based on articicial neural networks. Because the signal of GPS receiver is usually influenced surrounding environment, is difficult to obtain continuous and exact location data. A method based on Artificial Neural Network (ANN) is used to predict short time location information to guarantee real-time accurate navigation information. Simulation results have shown that the given method can obtain a certain precision and the approach is applicable.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19493
Collection智能检测与装备研究室
Affiliation1.School of Information Engineering, Shenyang University, Shenyang, 110044, China
2.School of Control of Engineering, Northeastern University At Qinhuangdao, Qinhuangdao, Hebei, 066004, China
3.Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, 110016, China
Recommended Citation
GB/T 7714
Liu YY,Kong Z,Wang LF,et al. The Vehicle Location Method Based on Artificial Neural Networks[C]. PARIS:ATLANTIS PRESS,2015:1642-1646.
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