![]() ![]() This mechanism utilizes non-sensory/sensory data stored on the smartphone (e.g., the environment’s air pressure and device’s time zone) along with publicly available auxiliary information (e.g., elevation maps) to accurately estimate the user’s location when all location services (e.g., GPS) are turned off. Inventors at Princeton University in the Department of Electrical Engineering have developed a novel user-location algorithm named PinMe. ![]() Previous high-accuracy techniques have used GPS data, but this can carry significant downsides such as high battery usage, potential service blackout, and the risk of malicious GPS spoofing. ![]() With the rapid proliferation of smart devices such as wearables, cell phones, and self-driving cars, high-accuracy location-tracking services have become increasingly important. Accurately Tracking a Smart Device Using Non-GPS Based Sensor Data ![]()
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