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- W2785859832 abstract "This paper describes the use of WiFi signals for improving SLAM and person localization problems. Loop closing is the most important step in large-scale mappings and many previous methods rely on image-based feature matching. Such methods are, however, usually costly and tend to sensitive to illumination variations and the robot heading. We therefore propose a new loop closure detection method using WiFi fingerprints. Since WiFi signals are sometimes quite uncertain, we do matching not a pair of poses but a pair of pose sequences for improving the loop closing performance. We then use the WiFi-recorded map to localizing a person with a smartphone. We develop a particle filter-based method and apply it to a robot call system. Experimental results show the effectiveness of the proposed methods." @default.
- W2785859832 created "2018-02-23" @default.
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- W2785859832 date "2017-12-01" @default.
- W2785859832 modified "2023-10-16" @default.
- W2785859832 title "Utilizing WiFi signals for improving SLAM and person localization" @default.
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- W2785859832 doi "https://doi.org/10.1109/sii.2017.8279260" @default.
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