Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/64946
Title: Vehicle navigation and positioning based on multi-sensor information fusion for urban application
Other Titles: 基于多传感器信息融合城市车辆导航定位
Authors: Shen, X
Liu, J
Sun, Y
Chen, W 
Lu, M
Keywords: Information fusion
Vehicle navigation
Bluetooth beckon(BB) sensor
Federated Kalman filter
Issue Date: 2006
Publisher: 传感器与微系统编辑部
Source: 传感器与微系统 (Transducer and microsystem technologies), 2006, v. 25, no. 1, p. 85-88 How to cite?
Journal: 传感器与微系统 (Transducer and microsystem technologies) 
Abstract: 針對全球定位系統信號易受城市復雜的環境干擾,接收不可靠、航位推算只能進行短時間高精度導航、地圖匹配僅可在拐彎處才能提供與地圖精度相當的修正信息、城區車輛導航存在“盲區”問題,研制了采用藍牙技術的新型路標傳感器,研究了基于自適應聯合卡爾曼濾波算法的多傳感器信息融合技術。大量的試驗研究表明:采用該信息融合技術后,城區車輛導航定位精度達到10m以內,符合高精度導航定位要求。
A new kind of Beacon sensor based on Bluetooth technology is studied to overcome the "navigation blind region" in urban areas, which caused by the blockage of GPS signal due to complicated environment, increasing error of dead reckoning and shortage of map matching. Multi-sensor fusion technology based on adaptive federated Kalman filter is researched. Finally, a field test is performed, and the result shows that the proposed multi-sensor fusion algorithm can supply high precision vehicle navigation in urban, and positioning accuracy less than 10 m is received.
URI: http://hdl.handle.net/10397/64946
ISSN: 1000-9787
Rights: © 2006 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2006 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research purposes.
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