One of the most popular approaches for indoor positioning is WiFi fingerprinting, which has
been intrinsically tackled as a traditional machine learning problem since the beginning, to …

Observing the vehicles movement becomes an urgent necessity due to exponentially
increasing numbers of vehicles in the world. However, to this regard, a good deal of …

With the rise of hailing services, people are increasingly relying on shared mobility (eg,
Uber, Lyft) drivers to pick up for transportation. However, such drivers and riders have …

Robust and reliable localization is important for intelligent vehicles, especially in GPS-blind
areas, such as underground parking lots. A novel localization frame by building two-layer …

Visible light positioning is one of the schemes based on driving modulation to achieve high
accuracy of indoor positioning. However, it has shortcomings in system deployment …

For indoor localisation, a challenge in data-driven localisation is to ensure sufficient data to
train the prediction model to produce a good accuracy. However, for WiFi-based data …

With the rise of hailing services, people are increasingly relying on shared mobility (eg,
Uber, Lyft) drivers to pick up for transportation. However, such drivers and riders have …

Os serviços baseados em localização interna (​ Indoor Location Based Services–ILBS​)
vêm atraindo muita atenção nos últimos anos por causa de seu potencial social e comercial …