Table 2.
Supervised/unsupervised machine learning methods.
| Supervised ML | ANN based method in VLP (visible light positioning) [18] |
| NLOS classification and mitigation based on RSSI [20] and TOA [58] | |
| DNN based device-free localization [21] | |
| CNN and DNN completion and refinement for EDM recovery [28] | |
| Hybrid SVM- and DNN-based method [28] | |
| KNN and Naive Bayes methods with RSSI fingerprints [24] | |
| CNN-LSTM-based hybrid deep learning with RSSI heat map [39] | |
| SVM and Gaussian Process regressions for LOS/NLOS identification, classification and error mitigation [101,102,103,104,105,106,107,108] | |
| ANN and CNN based method to identify and to estimate position of room with human object [109] | |
| Unsupervised ML | Isloation forest-based classification method [19] |
| Ranging module-based NN method for trilateration [22] | |
| k-means RSSI-based classification for improving accuracy [25] | |
| VAE-based semi-supervised learning model with latent variables [38] | |
| PDR-based reliable unsupervised approach with iBeacon corrections and fingerprint database auto-building [13] |