Abstract
Against to the presence of high complexity, low accuracy and a smaller range of positioning in traditional positioning technologies (WLAN, RFID and visual positioning technology), it presents the multi-information fusion positioning technology. The technology takes full advantage of WLAN, RFID and visual positioning technology which chooses Kalman filter for WLAN and RFID information fusion location, and uses visual for positioning after close to the target. Experimental results show that: This technology reduces deviations of WLAN, RFID and visual positioning technology during alone positioning, improves positional accuracy and better meets the positioned requirements of indoor mobile robots.
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