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2011 chinese control and Decision conference（ccDc）

作者： yinghua xue is a lecturer of shandong university of finance,and is with school of control science and engineering of shandong university,jinan,p.r.c.guohui tian is with school of control science and engineering of shandong university,jinan,p.r.c.fengyu zhou is with school of control science and engineering of shandong university,jinan,p.r.c.

Intelligent space has changed the one to one occupying mode between robot and sensing devices in traditional pattern,making the computational resources and all kinds of devices tend to be public and *** order to make full use of the different services and resources,a new information representation method based on modified JDL is presented in the paper,which can represent the information from Qr code,rFID in a uniform format,and realize information interoperability and *** to the strong computational ability of intelligent space,the information service in the intelligent space is not limited in the original signal level,but also the deeper understanding through data fusion.A multi-pattern acquisition model based on the distributed data fusion tree is built in the paper aiming to realize multi-class,multi-level processing to the distributed sensor *** example demonstrates that the new model proposed in the pap.r.c.n improve the positioning precision of robot and targets greatly,and the search efficiency and success rate are also better than traditional pattern.

关键词： Intelligent Space Information representation Multi-pattern Information Acquisition Data Fusion Tree

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Distributed environment representation and object localization system in intelligent space

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控制理论与应用（英文版） 2012年第3期10卷 371-379页

作者： yinghua xue guohui tian Baoye SONG Taotao ZHANG school of control science and engineering Shandong University Jinan Shandong 250061 China school of computer and Information engineering Shandong University of Finance Jinan Shandong 250014 China

A kind of new environment representation and object localization scheme is proposed in the paper aiming to accomplish the task of object operation more efficiently in intelligent space. First, a distributed environment represen- tation method is put forward to reduce storage burden and improve the system＇s stability. The layered topological maps are separately stored in different landmarks attached to the key positions of intelligent space, so that the robot can search the landmarks on which the map information can be read from the Qr code, and then the environment map can be built autonomously. Map building is an important prerequisite for object search. An object search scheme based on rFID and vision technology is proposed. The rFID tags are attached to the target objects and reference objects in the indoor environ- ment. A fixed rFID system is built to monitor the rough position （room and local area） of target and a mobile rFID system is constructed to detect the targets which are not in the covering range of the fixed system. The existing area of target is determined by the time sequence of reference tags and target tags, and the accurate position is obtained by onboard vision system at a short distance. The experiments demonstrate that the distributed environment representation proposed in the pap.r.c.n fully meet the requirements of object localization, and the positioning scheme has high search efficiency, high localization accuracy and precision, and a strong anti-interference ability in the complex indoor environment.

关键词： Intelligent space Distributed map representation Object localization Artificial landmark rFID

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