文章基本信息

标题：Adaptive A* Based Gnome Segmentation Of PrÃ©cised Navigation Images For Optimum Route Decision Of An Autonomous Robot Using Rfid Networks
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作者：Sarin CR ; Nige Joseph ; Dinesh CK 等
期刊名称：International Journal of Advanced Research In Computer Science and Software Engineering
印刷版ISSN：2277-6451
电子版ISSN：2277-128X
出版年度：2012
卷号：2
期号：6
出版社：S.S. Mishra
摘要：Radio Frequency Identification (RFID) has attracted considerable attentions in recent years for Its broad applications in ubiquitous computing and promises new field of work that is eagerly awaited for many different types of applications. Many of the new generation robot systems use RFID tag system for navigation because of its simplicity reliability, accuracy and ease of implementation. Still, one of the major strategies related to the field of RFID navigation is to identification of optimum route plan and navigation using normal processing circuit which is more complex and time consuming. The basic processing circuit need large and complex algorithms for positioning, navigation n and route planning. The proposed system introduces a Pr¨¦cised image based navigation obtained from predefined data of tag distribution and acquired information from RFID tag-transreceiver system. Adaptive A* Search algorithm is implemented for optimum route planning based on adaptive weight iteration that changes its nature with respect to user needs and environment. . Genome percolation algorithm applied on pr¨¦cised images in order to extract the feature of designed route and establish a better user interfered route planning within minimum time and less complexity. The image based methods put forth a major advantage of exact positioning; route planning and easy design over co ntrol of Robot servo system in XY co-ordinate due to accurately measured dimensions and angles using image velocitometry and novel video co-relation systems.
关键词：GNOME Segmentation; RFID Navigation; Adaptive A* Algorithm; Robots