Wi-Fi signals can track indoor movement within one meter
By processing existing wireless signals, researchers can now map pedestrian flow inside complex transit hubs with enough precision to predict and prevent dangerous crowd crushes.
While GPS provides reliable navigation outdoors, satellite signals struggle to penetrate the concrete and steel of large buildings. To solve this, researchers at the Korea Railroad Research Institute developed a hybrid positioning system that repurposes Wi-Fi signals to track movement in areas where GPS fails. By processing these signals through machine learning algorithms, they can pinpoint a person's location within an average error of just 1.1 meters.
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