Datasets
Open Access
WiFi RSSI Indoor Localization
- Citation Author(s):
-
Minh TuHoang
XiaodaiDongTaoLu - Submitted by:
- Tu Hoang
- Last updated:
- Sat, 11/13/2021 - 21:21
- DOI:
- 10.21227/1yd5-rn96
- Data Format:
- Links:
- License:
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Abstract
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.
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.
Database Folder name "RSSI_6AP_Experiments" which includes:
+ Nexus 4 database
+ Nexus 5 database
Training & Testing data are seperated & collected in different time with different locations.
* The general format for csv data file is:
-- X & Y & The list of RSSI
-- X | Y | RSSI Vector
Dataset Files
RSSI_6AP_Experiments.zip (64.63 MB)
KNN_RADAR_main.m (6.29 kB)- NearDistanceNeighbour.m (1.51 kB)
- Radar_KNN.m (1.75 kB)
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Comments
Hello.
First thanks for the datasets , but i found some errors:
you have mentioned some coordinates with x = 21 but the map length is 21 too, how is that possible??
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Thanks Aymen for using our database and giving the feedback. Really appreciate it.
The exact dimension is 21.4 m which we modified the pdf floor map description accordingly.
Hello,
It is possible to inform the APs position?
Tks a lot
It is possibile to inform the AP's position?
New Datasets with over 1,000,000 data points in 4 different locations
https://ieee-dataport.org/documents/esp32c3-wifi-ftm-rssi-indoor-localization
https://ieee-dataport.org/documents/wi-fi-and-bluetooth-rssi-sqi-indoor-localization