事件相机+光学标记物，实现低延迟高鲁棒视觉感知
A Survey on Event-based Optical Marker Systems
- 利用事件相机与光学标记物的异步特性提升感知效率
- 在强光、暗光等复杂光照下仍保持稳定性能
- 适合机器人导航、姿态估计等实时视觉任务
事件相机凭借低延迟、高动态范围和低功耗，成为机器感知与机器人视觉的重要突破。特别是将这类类脑传感器与常见的被动或主动光学标记物（如AprilTags、闪烁LED阵列）结合，催生了事件基光学标记系统（EBOMS）这一新兴领域。本文全面综述了EBOMS的技术原理与实现方式，重点分析其异步工作特性和在复杂光照条件下的鲁棒性。同时梳理了其在目标检测与跟踪、姿态估计及光学通信等场景的应用。最后探讨了该领域未来可能的研究方向，为跨学科发展提供参考。
原文摘要 · Abstract (English)
The advent of event-based cameras, with their low latency, high dynamic range, and reduced power consumption, marked a turning point in machine perception and robotic vision. In~particular, the combination of these neuromorphic sensors with widely-available passive or active optical markers (e.g. AprilTags, arrays of blinking LEDs), has recently opened up a new field of opportunities. This survey paper provides a comprehensive review of Event-Based Optical Marker Systems (EBOMS). We~analyze the underlying principles and technologies on which these systems are based, with a special focus on their asynchronous operation and robustness against challenging lighting conditions. We also describe the most relevant applications of EBOMS, including object detection and tracking, pose estimation, and optical communication. The article concludes with a discussion of possible future research directions in this rapidly-emerging and multidisciplinary area.
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