447 citations · 625 across the 6 of their papers we have counts for
6 papers
Passive Indoor Localization with WiFi Fingerprints
Minh Tu Hoang, Brosnan Yuen, Kai Ren +5
This paper proposes passive WiFi indoor localization. Instead of using WiFi signals received by mobile devices as fingerprints, we use signals received by routers to locate the mob…
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks
Ahmed Elmoogy, Xiaodai Dong, Tao Lu +2
We propose a novel image based localization system using graph neural networks (GNN). The pretrained ResNet50 convolutional neural network (CNN) architecture is used to extract the…
A CNN-LSTM Quantifier for Single Access Point CSI Indoor Localization
Minh Tu Hoang, Brosnan Yuen, Kai Ren +5
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization…
Semi-Sequential Probabilistic Model For Indoor Localization Enhancement
Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong +3
This paper proposes a semi-sequential probabilistic model (SSP) that applies an additional short term memory to enhance the performance of the probabilistic indoor localization. Th…
A Soft Range Limited K-Nearest Neighbours Algorithm for Indoor Localization Enhancement
Minh Tu Hoang, Yizhou Zhu, Brosnan Yuen +5
This paper proposes a soft range limited K nearest neighbours (SRL-KNN) localization fingerprinting algorithm. The conventional KNN determines the neighbours of a user by calculati…
Recurrent Neural Networks For Accurate RSSI Indoor Localization
Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong +3
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi. Instead of locating user's position one at a time as in the cases of conve…