Authors: Roshan Ayyalasomayajula, Aditya Arun, Chenfeng Wu, Dinesh Bharadia
December, 2022
2nd version of WILD dataset has been released through a Kaggle Competition.
June 20, 2020
First release of the Location labelled WiFi CSI data and features data used in DLoc.
Jan, 2020
DLoc has been accepted in Mobicom 2020.
jacobs_Jul28: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on July 28, 2019.
jacobs_Jul28_2: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on July 28, 2019, one hour after jacobs_Jul28.
jacobs_Aug16_1: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on August 16, 2019 with extra furniture placed randomly.
jacobs_Aug16_3: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on August 16, 2019 with extra furniture placed randomly.
jacobs_Aug16_4_ref: 18m X 8m setup with 4 APs in Jacobs hall ground floor for data collected on August 16, 2019 with extra furniture placed randomly with an added reflector. (a huge aluminium plated board)
July16: 8m X 5m setup with 3 APs in Atkinson hall ground floor for data collected on July 16, 2019.
July18: 8m X 5m setup with 3 APs in Atkinson hall ground floor for data collected on July 18, 2019.
July22_2_ref: 8m X 5m setup with 3 APs and 2 additonal reflectors (a huge aluminium plated board) placed in Atkinson hall ground floor for data collected on July 22, 2019.
We provide both the CSI data for all the above setups and the post-prcessed features for running our DLoc network. All the corresponding links can be found below.
The CSI data is named as channels_<dataset_name>.mat. These MATLAB files are stored using HDF5 file structure and contain the following variables:
The 2D heatmap features data used in DLoc is named as features_<dataset_name>.mat. These MATLAB files are stored using HDF5 file structure and contain the following variables:
Individual Downloads:
Individual Downloads:
Dataset Split IDs to replicate results from DLoc using the open-sourced code can be downloaded at split_ids.
Folder Metadata: data_split_idx
MapFind robot collected the ground truth data and these ground truth measurements can be downloaded at Robot Ground Truth Measurements.
Folder Metadata: timestamps
Ayyalasomayajula R, Arun A, Wu C, Sharma S, Sethi AR, Vasisht D, Bharadia D. Deep learning based wireless localization for indoor navigation. InProceedings of the 26th Annual International Conference on Mobile Computing and Networking 2020 Apr 16 (pp. 1-14).