智能系统学报2018，Vol.13Issue(3)：407-413,7.DOI:10.11992/tis.201705020
基于WIFI指纹定位的仿生SLAM研究
Bio-inspired SLAM fingerprint location based on WIFI
摘要
Abstract
From the viewpoint of localization of mobile robots in complex indoor environments,it is difficult to guarantee the localization accuracy of the RatSLAM model owing to the complexity and variability of indoor environments.In this paper,the authors propose a strategy of combining RatSLAM and WIFI by utilizing the fingerprint recognition method based on WIFI signal strength.To this end,a position fingerprint database is established in the offline stage,and the position fingerprint localization algorithm is used to match the cognitive points in the online positioning stage to obtain more accurate experience mapping of a local scene.The experimental results show that the combination of the two algorithms can increase the positioning accuracy of a mobile robot and improve system robustness,thereby providing good positioning performance.关键词
无线信号网络/啮齿类动物模型/位置指纹/同步定位与地图构建/模板匹配/经历制图/准确率/精度Key words
wireless signal network/rodent model/position fingerprinting/simultaneous localization and mapping/template matching/experience drawing/accuracy rate/accuracy precision分类
信息技术与安全科学引用本文复制引用
秦国威,孙新柱,陈孟元..基于WIFI指纹定位的仿生SLAM研究[J].智能系统学报,2018,13(3):407-413,7.基金项目
安徽省高校优秀青年人才支持计划项目(gxyqZD2018050). （gxyqZD2018050）
