@article{(Open Science Index):https://publications.waset.org/pdf/10005512,
	  title     = {Indoor Mobile Robot Positioning Based on Wireless Fingerprint Matching},
	  author    = { Xu Huang and  Jing Fan and  Maonian Wu and  Yonggen Gu},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper discusses the design of an indoor mobile robot positioning system. The problem of indoor positioning is solved through Wi-Fi fingerprint positioning to implement a low cost deployment. A wireless fingerprint matching algorithm based on the similarity of unequal length sequences is presented. Candidate sequences selection is defined as a set of mappings, and detection errors caused by wireless hotspot stability and the change of interior pattern can be corrected by transforming the unequal length sequences into equal length sequences. The presented scheme was verified experimentally to achieve the accuracy requirements for an indoor positioning system with low deployment cost.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {10},
	  number    = {6},
	  year      = {2016},
	  pages     = {1240 - 1244},
	  ee        = {https://publications.waset.org/pdf/10005512},
	  url   	= {https://publications.waset.org/vol/114},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 114, 2016},
	}