AI RESEARCH
HelixTrack: Event-Based Tracking and RPM Estimation of Propeller-like Objects
arXiv CS.CV
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ArXi:2603.09235v1 Announce Type: new Safety-critical perception for unmanned aerial vehicles and rotating machinery requires microsecond-latency tracking of fast, periodic motion under egomotion and strong distractors. Frame-based and event-based trackers drift or break on propellers because periodic signatures violate their smooth-motion assumptions. We tackle this gap with HelixTrack, a fully event-driven method that jointly tracks propeller-like objects and estimates their rotations per minute.