Have you ever hit a surprise pothole or other road obstruction? Do you wish your navigation app could provide more precise location or lane-level accuracy? These and other novel features are powered by smartphone positioning services. Machine learning and precision GNSS algorithms are expected to improve this accuracy and provide billions of Android phone users with a more fine-tuned positioning experience.
Global Navigation Satellite System (GNSS) provides raw signals, which the GPS chipset uses to compute a position. Current mobile phones only offer 3-5 meters of positioning accuracy. While useful in many cases, it can create a “jumpy” experience. For many use cases, the results are not fine nor stable enough to be reliable.
In this competition, you’ll use data collected from the host team’s own Android phones to compute location down to decimeter or even centimetre resolution, if possible. You’ll have access to precise ground truth, raw GPS measurements, and assistance data from nearby GPS stations, in order to train and test your submissions.
Submissions to this Challenge must be received by 2:59 a.m. EEST, July 29, 2021.