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使用在线文献翻译工具帮助理解非英语论文 #生活技巧# #学习技巧# #学术论文检索技巧#

外文文献翻译 (含：英文原文及中文译文) 文献出处：Retscher G. An Intelligent Multisensor System for Pedestrian Navigation[J]. Positioning, 2006, 5(12):110-118.英文原文 An Intelligent Multi-sensor System for Pedestrian NavigationG. RetscherInstitute of Geodesy and Geophysics, Vienna Abstract：In the research project “Pedestrian Navigation Systems in Combined Indoor/Outdoor Environments” (NAVIO) we are working on the development of modern intelligent systems and services for pedestrian navigation and guidance. In the project modern and advanced intelligent mobile multi-sensor systems should be employed for 3-D position determination of a user. Due to the fact that satellite positioning with GNSS (Galileo, GPS, etc.) does not work under any environmental condition (e.g. in urban “canyons” with no satellite visibility and indoor) a combination and integration with other sensors (e.g. dead reckoning sensors, inertial navigation systems (INS), indoor location techniques, cellular phone positioning, etc.) is essential. In our approach a loose coupling of the employed sensors should be achieved and it is proposed to develop a multisensor fusion model which makes use of knowledge based systems. As far as we can see now knowledge based systems can be especially useful. Thereby the decision which sensors should be used to obtain an optimal estimate of the current user’s position and the weightings of the observations shall be based on knowledge-based systems. The new algorithm would be of great benefit for the integration of different sensors as the performance of the service would be significantly improved. In this paper the basic principle of the new approach will be described. To test and to demonstrate our approach and results, the project takes a use case scenario into account, i.e., the guidance of visitors to departments of the Vienna University of Technology from nearby public transport stops. The results of first field tests could confirm that such a service can achieve a high level of performanc

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