11 citations · 13 across the 8 of their papers we have counts for
8 papers
Impact of Environmental Factors on LoRa 2.4 GHz Time of Flight Ranging Outdoors
Yiqing Zhou, Xule Zhou, Zecan Cheng +6
In WSN/IoT, node localization is essential to long-running applications for accurate environment monitoring and event detection, often covering a large area in the field. Due to th…
EKF-Based Fusion of Wi-Fi/LiDAR/IMU for Indoor Localization and Navigation
Zeyi Li, Zhe Tang, Kyeong Soo Kim +2
Conventional Wi-Fi received signal strength indicator (RSSI) fingerprinting cannot meet the growing demand for accurate indoor localization and navigation due to its lower accuracy…
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…
On the Multidimensional Augmentation of Fingerprint Data for Indoor Localization in A Large-Scale Building Complex Based on Multi-Output Gaussian Process
Zhe Tang, Sihao Li, Kyeong Soo Kim +1
Wi-Fi fingerprinting becomes a dominant solution for large-scale indoor localization due to its major advantage of not requiring new infrastructure and dedicated devices. The numbe…
Multi-Output Gaussian Process-Based Data Augmentation for Multi-Building and Multi-Floor Indoor Localization
Zhe Tang, Sihao Li, Kyeong Soo Kim +1
Location fingerprinting based on RSSI becomes a mainstream indoor localization technique due to its advantage of not requiring the installation of new infrastructure and the modifi…