无需硬件即可实现多事件相机精准同步，误差低于10毫秒。
Hardware-Free Event Cameras Temporal Synchronization Based on Event Density Alignment
- 通过最小化事件密度分布差异来推断时间偏移
- 在多种相机型号下同步误差小于10ms
- 适合无硬件同步功能的事件相机使用
事件相机是一种新型传感器，用于捕捉场景的动态变化。由于触发和传输延迟等因素，多台事件相机采集的数据存在时间偏移，影响信息融合精度。现有硬件同步方法需额外电路，而部分相机（如CeleX5）不支持硬件同步。为此，本文提出一种无需硬件的事件相机同步方法：通过最小化不同相机事件密度分布的差异来确定起始时间差，并调整时间戳实现数据同步。实验表明，该方法在多种条件下对多款相机的同步误差均低于10ms。
原文摘要 · Abstract (English)
Event cameras are a novel type of sensor designed for capturing the dynamic changes of a scene. Due to factors such as trigger and transmission delays, a time offset exists in the data collected by multiple event cameras, leading to inaccurate information fusion. Thus, the collected data needs to be synchronized to overcome any potential time offset issue. Hardware synchronization methods require additional circuits, while certain models of event cameras (e.g., CeleX5) do not support hardware synchronization. Therefore, this paper proposes a hardware-free event camera synchronization method. This method determines differences between start times by minimizing the dissimilarity of the event density distributions of different event cameras and synchronizes the data by adjusting timestamps. The experiments demonstrate that the method's synchronization error is less than 10ms under various senses with multiple models of event cameras.
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