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  - wifi-rssi
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  - rssi
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  - recurrent-neural-networks
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- - smartphone
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- # WIFI_RSSI_Indoor_Positioning_Dataset
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- WIFI RSSI data collected on the Nexus 5 and Nexus 4 with position labels determined by LIDAR
 
 
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  # Data Format
 
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  - wifi-rssi
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  - rssi
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  - recurrent-neural-networks
 
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+ # WIFI RSSI Indoor Positioning Dataset
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+ A reliable and comprehensive public WiFi fingerprinting database for researchers to implement and compare the indoor localization’s methods.The database contains RSSI information from 6 APs conducted in different days with the support of autonomous robot.
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+ We use an autonomous robot to collect the WiFi fingerprint data. Our 3-wheel robot has multiple sensors including wheel odometer, an inertial measurement unit (IMU), a LIDAR, sonar sensors and a color and depth (RGB-D) camera. The robot can navigate to a target location to collect WiFi fingerprints automatically. The localization accuracy of the robot is 0.07 m ± 0.02 m. The dimension of the area is 21 m × 16 m. It has three long corridors. There are six APs and five of them provide two distinct MAC address for 2.4- and 5-GHz communications channels, respectively, except for one that only operates on 2.4-GHz frequency. There is one router can provide CSI information.
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  # Data Format