arXiv:2502.06116physics.ins-detcs.CV2025-02综述被引 3

事件视觉传感器通过捕捉时间对比,实现高帧率低延迟的高效感知。

Event Vision Sensor: A Review

  • 基于时间对比的事件驱动机制,省电且响应快。
  • 结合BSI与晶圆堆叠技术,噪声降低、分辨率提升。
  • 适合边缘计算与红外成像等前沿场景应用。

通过监测时间对比,事件视觉传感器可在保持低功耗和电路结构简单的同时,实现高时间分辨率和低延迟。近年来,背照式(BSI)技术、晶圆堆叠工艺及工业接口的引入,显著提升了事件视觉传感器的性能,推动了其在降噪、分辨率提升和读出速率方面的进步。此外,这些技术的融合增强了其与现有及边缘视觉系统的兼容性,拓展了实际应用前景。本文综述了从类脑工程到当前先进事件视觉传感器技术的发展历程,涵盖其演进趋势、工作原理与核心特性,并深入探讨其在红外成像中的灵敏度表现,以及未来研究与应用所面临的机会与挑战。

原文摘要 · Abstract (English)

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.

事件视觉类脑计算低功耗传感红外成像

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