17 citations · 78 across the 17 of their papers we have counts for
4 papers · 2 filters
A Collaborative Approach Using Neural Networks for BLE-RSS Lateration-Based Indoor Positioning
Pavel Pascacio, Joaquín Torres-Sospedra, Sven Casteleyn +1
In daily life, mobile and wearable devices with high computing power, together with anchors deployed in indoor environments, form a common solution for the increasing demands for i…
Data Cleansing for Indoor Positioning Wi-Fi Fingerprinting Datasets
Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra +4
Wearable and IoT devices requiring positioning and localisation services grow in number exponentially every year. This rapid growth also produces millions of data entries that need…
Towards Accelerated Localization Performance Across Indoor Positioning Datasets
Lucie Klus, Darwin Quezada-Gaibor, Joaquın Torres-Sospedra +3
The localization speed and accuracy in the indoor scenario can greatly impact the Quality of Experience of the user. While many individual machine learning models can achieve compa…
Improved Sensing and Positioning via 5G and mmWave radar for Airport Surveillance
Bo Tan, Elena Simona Lohan, Bo Sun +8
This paper explores an integrated approach for improved sensing and positioning with applications in air traffic management (ATM) and in the Advanced Surface Movement Guidance and…