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Asynchronous Tracking, Optical Communication and 3D Motion Capture using Event-based Sensors
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Ziwei Wang, Angus Apps, Holly Battisson, Iain Guilliard, Timothy Molloy, Robert Mahony

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ResearcharXiv cs.CV

Asynchronous Tracking, Optical Communication and 3D Motion Capture using Event-based Sensors

arXiv:2610.04342v1 Announce Type: cross Abstract: Inter-robot communication is a key enabling technology in cooperative robotics applications. While wireless communication is ubiquitous, simple, and effective, it has inherent limitations: the receiving robot cannot easily localise the source of an incoming signal, clock synchronisation is challenging, and signals are broadcast to all nearby devices rather than targeted recipients. Optical communication provides a complementary channel that is inherently directional and spatially localised, directly addressing these limitations. Event cameras are bio-inspired dynamic vision sensors that respond to changes in image intensity with high temporal resolution, high dynamic range, and low latency, making them well-suited as receivers for high-rate optical communication in cooperative robotic systems. In this paper, we propose the Asynchronous Tracking and Optical Communication (ATOC) system, which integrates LED smart-beacon modulation, event-based detection, optical tracking, and event-data demodulation in a single pipeline. By simultaneously tracking and demodulating multiple LED smart beacons, ATOC transforms a conventional visual marker into a robust communication channel suitable for a wide range of high-impact robotics applications. We validate ATOC in a suite of laboratory studies and two 'applications': a smart-city demonstration and a 3D motion-capture system.

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This story was published by arXiv cs.CV and written by Ziwei Wang, Angus Apps, Holly Battisson, Iain Guilliard, Timothy Molloy, Robert Mahony. SyncAI.news shows a preview; the complete article is on the publisher's site.

Read the full story on arxiv.org

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