RTL simulation of an asynchronous reading architecture for an event-driven image sensor

Darwish, Amani; Fesquet, Laurent; Sicard, Gilles

doi:10.1109/ebccsp.2015.7300666

Cited by 1 publication

(1 citation statement)

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“…Machine vision has seen the greatest uptake of event-based sensing and signal processing approaches so far. There are many approaches to develop silicon retinas, examples of which include (Etienne-Cummings et al, 2000;Costas-Santos et al, 2007;Delbruck, 2008;Lichtsteiner et al, 2008;Delbrück et al, 2010;Matolin et al, 2010;Camunas-Mesa et al, 2011Leñero-Bardallo et al, 2011;Posch et al, 2011;Serrano-Gotarredona et al, 2013;Darwish et al, 2015;García et al, 2016;Zheng et al, 2016).…”

Section: Event-based Vision Systemsmentioning

confidence: 99%

Event-Based Sensing and Signal Processing in the Visual, Auditory, and Olfactory Domain: A Review

Tayarani-Najaran

Schmuker

2021

Front. Neural Circuits

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The nervous systems converts the physical quantities sensed by its primary receptors into trains of events that are then processed in the brain. The unmatched efficiency in information processing has long inspired engineers to seek brain-like approaches to sensing and signal processing. The key principle pursued in neuromorphic sensing is to shed the traditional approach of periodic sampling in favor of an event-driven scheme that mimicks sampling as it occurs in the nervous system, where events are preferably emitted upon the change of the sensed stimulus. In this paper we highlight the advantages and challenges of event-based sensing and signal processing in the visual, auditory and olfactory domains. We also provide a survey of the literature covering neuromorphic sensing and signal processing in all three modalities. Our aim is to facilitate research in event-based sensing and signal processing by providing a comprehensive overview of the research performed previously as well as highlighting conceptual advantages, current progress and future challenges in the field.

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