⚡ 本页包含 AI 生成的分析内容，仅供参考
本文探讨了增强现实（AR）作为下一代人机计算前沿，重点分析了AR眼镜对图像传感器和计算系统的严苛需求，包括多摄像头、超低功耗、宽动态范围和低光灵敏度等。论文提出了满足全天候佩戴约束的传感器与计算架构设计方向。
Augmented Reality (AR) will be the next great wave of human-oriented computing, dominating our relationship with the digital world for the next 50 years, much as personal computing has dominated the last 50 [1]. AR glasses require multiple cameras to enable all the computer vision (CV) and AI functions while operating under stringent weight, power, and socially acceptable form-factor constraints. The AR sensors need to be small, ultra-low power, with wide dynamic range (DR) and excellent low-light sensitivity to support day/night, indoor/outdoor, all-day wearable use cases. The combination of lowest power, best performance, and minimal form factor makes AR sensors the new frontier in the image sensors field. In this paper, we explore new sensor architectures and a distributed on-sensor compute system to solve these challenges. With the advancement of CMOS image sensor (CIS) fabrication technologies, particularly
Chiao Liu, Song Chen, Tsung-Hsun Tsai, Barbara De Salvo, Jorge Gomez
Meta Reality Labs, Redmond, WA