no code implementations • 29 Nov 2021 • Minh Tu Hoang, Brosnan Yuen, Kai Ren, Ahmed Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy Tarimala
This paper proposes passive WiFi indoor localization.
no code implementations • 17 Mar 2021 • Ahmed Elmoogy, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
We propose a novel image based localization system using graph neural networks (GNN).
no code implementations • 13 May 2020 • Minh Tu Hoang, Brosnan Yuen, Kai Ren, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
This paper proposes a combined network structure between convolutional neural network (CNN) and long-short term memory (LSTM) quantifier for WiFi fingerprinting indoor localization.
no code implementations • 8 Jan 2020 • Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
In contrast, SSP leverages the information of the previous position to determine the probable location since the user's speed in an indoor environment is bounded and locations near the previous one have higher probability than the other locations.
no code implementations • 27 Oct 2019 • Arda Efe Okay, Manal AlGhamdi, Robert Westendorp, Mohamed Abdel-Mottaleb
This paper presents a part-based model with a multi-resolution network that uses different level of features.
no code implementations • 27 Mar 2019 • Minh Tu Hoang, Brosnan Yuen, Xiaodai Dong, Tao Lu, Robert Westendorp, Kishore Reddy
This paper proposes recurrent neuron networks (RNNs) for a fingerprinting indoor localization using WiFi.