AIBullisharXiv – CS AI · 8h ago6/10
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Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments
Researchers propose an inertial motion learning framework for tracking shared bikes in GNSS-denied environments like urban canyons, combining mechanical constraints with mixture-of-experts models to achieve 12% accuracy improvements over baselines. The system leverages pedaling behavior patterns to dynamically calibrate wheel speed estimates, demonstrating practical viability through real-world deployment data from DiDi's bike-sharing platform.