A start-up had the novel idea of using environmental sensors such as thermometers and barometers to detect position. They approached Exometrics for help to develop a powerful new positional system.
Our Data Engineers & Data Scientists worked to create a simulation of a city road network using the Google Maps API & OSM. We simulated millions of navigation paths to train sophisticated Deep Learning models to learn to use pressure sensors instead of GPS.
Accuracy (Compared to GPS)
Our team developed a way to detect position using air pressure changes from barometric pressure sensors
We used Deep Learning to create virtual pressure maps of a few cities around the world
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