Deep-neural-network-based multi-building and multi-floor indoor localization scheme
What is it about?
We use just a single deep neural network for building, floor, and floor-level location classification and coordinates estimation, which can provide near state-of-the-art localization performance.
Why is it important?
The proposed scheme makes much simpler the management of Wi-Fi fingerprint databases and related training and thereby provides good scalability compared to existing schemes.
The following have contributed to this page: Dr Kyeong Soo Kim
In partnership with: