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- W2968118363 abstract "In indoor localization scenarios, a sheer coordinate with respect to a basis is insufficient to indicate the users’ situation due to a lack of information about landmarks distributed in the environments. To extract landmarks’ information manually, however, is inefficient and thus vulnerable to changes of the environments. Simultaneous localization and mapping can solve the localization and landmarks’ information extracting problems. This paper presents WalkSLAM, a SLAM solution that estimates both the path taken by the user and the locations of Wi-fi devices in the indoor space, using a smartphone. This solution extends the previous work by introducing human walking patterns into the specific SLAM problem. Experiments demonstrate that the improvement consists of increased efficiency of the particle filter, and hence, of the overall algorithm, and a better estimation of the user’s location and path." @default.
- W2968118363 created "2019-08-22" @default.
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- W2968118363 date "2019-08-14" @default.
- W2968118363 modified "2023-09-27" @default.
- W2968118363 title "WalkSLAM: A Walking Pattern-Based Mobile SLAM Solution" @default.
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- W2968118363 doi "https://doi.org/10.1007/978-981-13-6504-1_160" @default.
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