[1]QIN Guowei,SUN Xinzhu,CHEN Mengyuan.Bio-inspired SLAM fingerprint location based on WIFI[J].CAAI Transactions on Intelligent Systems,2018,13(3):407-413.[doi:10.11992/tis.201705020]
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CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
13
Number of periods:
2018 3
Page number:
407-413
Column:
学术论文—智能系统
Public date:
2018-05-05
- Title:
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Bio-inspired SLAM fingerprint location based on WIFI
- Author(s):
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QIN Guowei; SUN Xinzhu; CHEN Mengyuan
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Key Laboratory of Electric Drive and Control, Anhui Polytechnic University, Wuhu 241000, China
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- Keywords:
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wireless signal network; rodent model; position fingerprinting; simultaneous localization and mapping; template matching; experience drawing; accuracy rate; accuracy precision
- CLC:
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TP242.6;TN92
- DOI:
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10.11992/tis.201705020
- Abstract:
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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.