Event-LSTM: An Unsupervised and Asynchronous Learning-Based Representation for Event-Based Data

Event cameras are activity-driven bio-inspired vision sensors that respond asynchronously to intensity changes resulting in sparse data known as events. It has potential advantages over conventional cameras, such as high temporal resolution, low latency, and low power consumption. Given the sparse a...

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Veröffentlicht in:IEEE robotics and automation letters 2022-04, Vol.7 (2), p.4678-4685
Hauptverfasser: Annamalai, Lakshmi, Ramanathan, Vignesh, Thakur, Chetan Singh
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Sprache:eng
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