概率事件：实现实时量子感知的计算原语
原标题：Quanta Perception as Probabilistic Events
AI 摘要
本文提出了一种名为“概率事件”的计算原语，用于实时处理量子图像传感器（如SPAD）产生的光子流。该方法通过递归贝叶斯推断跟踪强度变化后的时间，生成运动自适应场景通量、高保真活动图和熵感知不确定性三种低延迟信号，避免了传统事件相机的固定阈值触发。在0.05勒克斯的极低光照下，该方法无需重新训练视觉模型即可实现人体姿态估计，处理速度超过每秒50,000帧量子帧，比现有重建基线快四个数量级，为光子计数传感与机器人视觉的融合提供了新途径。
正文节选
1 1 1 1 Quanta Perception as Probabilistic Events Abstract Autonomous systems rely on extracting information from light, yet remain brittle in extreme environments, from nighttime navigation to high-speed robotics. Conventional sensors aggregate photons over fixed exposures, imposing trade-offs between sensitivity, dynamic range, and temporal resolution that degrade perception when photons are scarce or dynamics are rapid. Quanta sensors detect individual photons, but their streams exceed real-t