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This competition is very relevant to my current research, except that the smartphone is replacing a receiver. I usually use commercial GNSS receivers for my research. My current research focuses on the accurate positioning of vehicles and mobile robots in urban environments where GNSS multipath occurs. What is your research focus and how does it relate to the contest? Suzuki Taro Suzuki, Chiba Institute of Technologyġst Place Winner: Two-Step Optimization of Velocity and Position using Smartphone’s Carrier Phase Observations The top three winners of this year’s Smartphone Decimeter Challenge described their projects to Matteo Luccio, GPS World editor-in-chief. #INCONTROL NAVIGATION ACCOUNT HOW TO#Read how to use the SDC data in Kaggle to test position algorithms here. This creates trust in published results, accelerating the recognition and adoption of truly great improvements for the benefit of the entire industry and GNSS users worldwide. We advocate that all GNSS researchers use this resource to measure their location algorithm improvements in a standard way. The Kaggle site allowed users to submit their results, then automatically scored them against the ground-truth data. zll labeled with ground-truth positions and velocities collected using NovAtel SPAN ISA-100C, with precise lever-arm compensation and validated with Google’s analysis tools. ![]() #INCONTROL NAVIGATION ACCOUNT CODE#圆 total hours of dual-frequency (L1, L5) data with code and carrier-phase measurements.Also, the reader never knows whether the data was cherry-picked (were bad results not mentioned?). Usually, the authors collect this data, and it is often fairly sparse (one or two drive tests, for example). In the GNSS community, this convention has been missing - a glance across papers at conferences will show that different algorithms tend to be presented with different test data and different metrics. Legacyĭisciplines such as machine learning have established benchmarks that make it possible to compare new approaches to previous ones in a proper quantitative way. The second goal is a work-in-progress and is intended to be the legacy of the events. Moreover, winners have written formally peer-reviewed papers and made presentations at the ION GNSS+ conferences, which are available from ion.org. ![]() Discussion among competitors on the competition platform ( ) was wide-ranging, incredibly collegial, and beneficial to the entire community.Ĭompetitors have written and shared detailed descriptions, and these have been reviewed and commented on by other competitors. A total of 1,381 teams participated in the two competitions of 20. The first goal was met beyond our expectations.
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