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Event Vision Sensor: A Review

arXiv 2502.06116 ↗First posted 10 Feb 2025physics.ins-det cs.CVcited by 0

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Abstract (arXiv)

By monitoring temporal contrast, event-based vision sensors can provide high temporal resolution and low latency while maintaining low power consumption and simplicity in circuit structure. These characteristics have garnered significant attention in both academia and industry. In recent years, the application of back-illuminated (BSI) technology, wafer stacking techniques, and industrial interfaces has brought new opportunities for enhancing the performance of event-based vision sensors. This is evident in the substantial advancements made in reducing noise, improving resolution, and increasing readout rates. Additionally, the integration of these technologies has enhanced the compatibility of event-based vision sensors with current and edge vision systems, providing greater possibilities for their practical applications. This paper will review the progression from neuromorphic engineering to state-of-the-art event-based vision sensor technologies, including their development trends, operating principles, and key features. Moreover, we will delve into the sensitivity of event-based vision sensors and the opportunities and challenges they face in the realm of infrared imaging, providing references for future research and applications.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 78 references that are in the map. First posted on arXiv 10 Feb 2025.

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5 of 78 references.

References · 5

  1. 2019Event-based Vision: A Surveycited by 1,016
  2. 2021Training Spiking Neural Networks Using Lessons From Deep Learningcited by 259
  3. 2023Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipelinecited by 52
  4. 2022Utility and Feasibility of a Center Surround Event Cameracited by 9
  5. 2024SciDVS: A Scientific Event Camera with 1.7% Temporal Contrast Sensitivity at 0.7 luxcited by 3

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