Real-time indoor navigation using smartphone sensors
作者： You Li , Peng Zhang , Xiaoji Niu , Yuan Zhuang , Haiyu Lan
DOI: 10.1109/IPIN.2015.7346966
关键词:
摘要: This paper presents an indoor navigation algorithm that uses multiple kinds of sensors and technologies, such as MEMS (i.e., gyros, accelerometers, magnetometers, a barometer), WiFi, magnetic matching. The corresponding real-time software on smartphones includes modules dead-reckoning, WiFi positioning, DR is used for providing continuous position solutions the blunder detection both fingerprinting Finally, matching results are passed into position-tracking module updates. Meanwhile, barometer to detect floor changes, so switch floors databases. was tested during 5th EvAAL competition. Position errors three quarters (75 %) test points (totally 62 were selected evaluate algorithm) under 6.6 m.
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