11 citations · 13 across the 8 of their papers we have counts for
4 papers · 1 filter
Decentralized Indoor Localization Based on A Sparse Gaussian Process with Reduced-Dimensional Inputs for Real-Time Sensing and Training on IoT Devices
Zhe Tang, Sihao Li, Zichen Huang +5
As a large number of Internet of Things (IoT) devices are deployed in the field, there arises huge potential of edge computing for indoor localization on those devices. Conventiona…
Hierarchical Stage-Wise Training of Linked Deep Neural Networks for Multi-Building and Multi-Floor Indoor Localization Based on Wi-Fi RSSI Fingerprinting
Sihao Li, Kyeong Soo Kim, Zhe Tang +2
In this paper, we present a new solution to the problem of large-scale multi-building and multi-floor indoor localization based on linked neural networks, where each neural network…
Mean Teacher based SSL Framework for Indoor Localization Using Wi-Fi RSSI Fingerprinting
Sihao Li, Zhe Tang, Kyeong Soo Kim +1
Conventional large-scale indoor localization based on Wi-Fi RSSI fingerprinting faces issues of time-consuming and labor-intensive labeled data collection, limited generalization o…
Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective
Zhe Tang, Ruocheng Gu, Sihao Li +2
Wi-Fi fingerprinting has emerged as the most popular approach to indoor localization. The use of ML algorithms has greatly improved the localization performance of Wi-Fi fingerprin…