5 citations · 12 across the 10 of their papers we have counts for
4 papers · 1 filter
Hierarchical Multi-Building And Multi-Floor Indoor Localization Based On Recurrent Neural Networks
Abdalla Elmokhtar Ahmed Elesawi, Kyeong Soo Kim
There has been an increasing tendency to move from outdoor to indoor lifestyle in modern cities. The emergence of big shopping malls, indoor sports complexes, factories, and wareho…
On the Transformation of Latent Space in Autoencoders
Jaehoon Cha, Kyeong Soo Kim, Sanghyuk Lee
Noting the importance of the latent variables in inference and learning, we propose a novel framework for autoencoders based on the homeomorphic transformation of latent variables,…
XJTLUIndoorLoc: A New Fingerprinting Database for Indoor Localization and Trajectory Estimation Based on Wi-Fi RSS and Geomagnetic Field
Zhenghang Zhong, Zhe Tang, Xiangxing Li +10
In this paper, we present a new location fingerprinting database comprised of Wi-Fi received signal strength (RSS) and geomagnetic field intensity measured with multiple devices at…
Hybrid Building/Floor Classification and Location Coordinates Regression Using A Single-Input and Multi-Output Deep Neural Network for Large-Scale Indoor Localization Based on Wi-Fi Fingerprinting
Kyeong Soo Kim
In this paper, we propose hybrid building/floor classification and floor-level two-dimensional location coordinates regression using a single-input and multi-output (SIMO) deep neu…