Researchers have developed a novel framework for estimating the relative states of quadrotors using event-based propeller sensing. This method leverages event cameras, which offer low latency and high dynamic range, to track propellers and estimate their frequencies. These frequency measurements, combined with position data from the camera, drive a kinematic state estimation module. The approach achieves under 3% error on real-world flight data, offering a new decentralized localization method for multi-robot systems. AI
排序理由 This is a research paper describing a new method for state estimation using event-based sensing.
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